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       <h2>Authors</h2>
-      
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-          <p><strong>Keith Fraser</strong>. Author, maintainer. 
+          <p><strong>Keith Fraser</strong>. Author, maintainer.
           </p>
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-    <div class="section level2 citation">
+    <div class="section level2">
       <h2 id="citation">Citation</h2>
       <p></p>
 
       <p>Fraser K (2024).
 <em>YEP: Yellow Fever Epidemic Prediction</em>.
-R package version 0.2.0, <a href="https://mrc-ide.github.io/YEP/">https://mrc-ide.github.io/YEP/</a>. 
+R package version 0.2.0, <a href="https://mrc-ide.github.io/YEP/">https://mrc-ide.github.io/YEP/</a>.
 </p>
       <pre>@Manual{,
   title = {YEP: Yellow Fever Epidemic Prediction},
@@ -75,7 +68,8 @@ <h2 id="citation">Citation</h2>
   url = {https://mrc-ide.github.io/YEP/},
 }</pre>
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auto}.btn-group>.btn-check:checked+.btn,.btn-group>.btn-check:focus+.btn,.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn-check:checked+.btn,.btn-group-vertical>.btn-check:focus+.btn,.btn-group-vertical>.btn:hover,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn.active{z-index:1}.btn-toolbar{display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;justify-content:flex-start;-webkit-justify-content:flex-start}.btn-toolbar .input-group{width:auto}.btn-group{border-radius:var(--bs-border-radius)}.btn-group>:not(.btn-check:first-child)+.btn,.btn-group>.btn-group:not(:first-child){margin-left:calc(var(--bs-border-width) * -1)}.btn-group>.btn:not(:last-child):not(.dropdown-toggle),.btn-group>.btn.dropdown-toggle-split:first-child,.btn-group>.btn-group:not(:last-child)>.btn{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:nth-child(n + 3),.btn-group>:not(.btn-check)+.btn,.btn-group>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-bottom-left-radius:0}.dropdown-toggle-split{padding-right:.5625rem;padding-left:.5625rem}.dropdown-toggle-split::after,.dropup .dropdown-toggle-split::after,.dropend .dropdown-toggle-split::after{margin-left:0}.dropstart .dropdown-toggle-split::before{margin-right:0}.btn-sm+.dropdown-toggle-split,.btn-group-sm>.btn+.dropdown-toggle-split{padding-right:.375rem;padding-left:.375rem}.btn-lg+.dropdown-toggle-split,.btn-group-lg>.btn+.dropdown-toggle-split{padding-right:.75rem;padding-left:.75rem}.btn-group-vertical{flex-direction:column;-webkit-flex-direction:column;align-items:flex-start;-webkit-align-items:flex-start;justify-content:center;-webkit-justify-content:center}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group{width:100%}.btn-group-vertical>.btn:not(:first-child),.btn-group-vertical>.btn-group:not(:first-child){margin-top:calc(var(--bs-border-width) * 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992px){.navbar-expand-lg{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-lg .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-lg .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-lg .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-lg .navbar-nav-scroll{overflow:visible}.navbar-expand-lg .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-lg .navbar-toggler{display:none}.navbar-expand-lg .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-lg .offcanvas .offcanvas-header{display:none}.navbar-expand-lg .offcanvas 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.offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xxl .offcanvas .offcanvas-header{display:none}.navbar-expand-xxl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand .navbar-toggler{display:none}.navbar-expand .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand .offcanvas .offcanvas-header{display:none}.navbar-expand .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}.navbar-dark,.navbar[data-bs-theme="dark"]{--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.55);--bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.75);--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.25);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 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;--bs-card-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-card-cap-padding-y: .5rem;--bs-card-cap-padding-x: 1rem;--bs-card-cap-bg: rgba(var(--bs-body-color-rgb), 0.03);--bs-card-cap-color: ;--bs-card-height: ;--bs-card-color: ;--bs-card-bg: var(--bs-body-bg);--bs-card-img-overlay-padding: 1rem;--bs-card-group-margin: .75rem;position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;min-width:0;height:var(--bs-card-height);color:var(--bs-body-color);word-wrap:break-word;background-color:var(--bs-card-bg);background-clip:border-box;border:var(--bs-card-border-width) solid 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wrap;-webkit-flex-flow:row wrap}.card-group>.card{flex:1 0 0%;-webkit-flex:1 0 0%;margin-bottom:0}.card-group>.card+.card{margin-left:0;border-left:0}.card-group>.card:not(:last-child){border-top-right-radius:0;border-bottom-right-radius:0}.card-group>.card:not(:last-child) .card-img-top,.card-group>.card:not(:last-child) .card-header{border-top-right-radius:0}.card-group>.card:not(:last-child) .card-img-bottom,.card-group>.card:not(:last-child) .card-footer{border-bottom-right-radius:0}.card-group>.card:not(:first-child){border-top-left-radius:0;border-bottom-left-radius:0}.card-group>.card:not(:first-child) .card-img-top,.card-group>.card:not(:first-child) .card-header{border-top-left-radius:0}.card-group>.card:not(:first-child) .card-img-bottom,.card-group>.card:not(:first-child) .card-footer{border-bottom-left-radius:0}}.accordion{--bs-accordion-color: var(--bs-body-color);--bs-accordion-bg: var(--bs-body-bg);--bs-accordion-transition: color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out,border-radius 0.15s ease;--bs-accordion-border-color: var(--bs-border-color);--bs-accordion-border-width: var(--bs-border-width);--bs-accordion-border-radius: var(--bs-border-radius);--bs-accordion-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-accordion-btn-padding-x: 1.25rem;--bs-accordion-btn-padding-y: 1rem;--bs-accordion-btn-color: var(--bs-body-color);--bs-accordion-btn-bg: var(--bs-accordion-bg);--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23212529'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-icon-width: 1.25rem;--bs-accordion-btn-icon-transform: rotate(-180deg);--bs-accordion-btn-icon-transition: transform 0.2s ease-in-out;--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23052c65'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-focus-border-color: #86b7fe;--bs-accordion-btn-focus-box-shadow: 0 0 0 .25rem rgba(13,110,253,0.25);--bs-accordion-body-padding-x: 1.25rem;--bs-accordion-body-padding-y: 1rem;--bs-accordion-active-color: var(--bs-primary-text-emphasis);--bs-accordion-active-bg: var(--bs-primary-bg-subtle)}.accordion-button{position:relative;display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;width:100%;padding:var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);font-size:1rem;color:var(--bs-accordion-btn-color);text-align:left;background-color:var(--bs-accordion-btn-bg);border:0;border-radius:0;overflow-anchor:none;transition:var(--bs-accordion-transition)}@media (prefers-reduced-motion: reduce){.accordion-button{transition:none}}.accordion-button:not(.collapsed){color:var(--bs-accordion-active-color);background-color:var(--bs-accordion-active-bg);box-shadow:inset 0 calc(-1 * var(--bs-accordion-border-width)) 0 var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;-webkit-flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:"";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media (prefers-reduced-motion: reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme="dark"] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.breadcrumb{--bs-breadcrumb-padding-x: 0;--bs-breadcrumb-padding-y: 0;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color: var(--bs-secondary-color);--bs-breadcrumb-item-padding-x: .5rem;--bs-breadcrumb-item-active-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, "/") /* rtl: var(--bs-breadcrumb-divider, "/") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: .75rem;--bs-pagination-padding-y: .375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: var(--bs-body-bg);--bs-pagination-border-width: var(--bs-border-width);--bs-pagination-border-color: var(--bs-border-color);--bs-pagination-border-radius: var(--bs-border-radius);--bs-pagination-hover-color: var(--bs-link-hover-color);--bs-pagination-hover-bg: var(--bs-tertiary-bg);--bs-pagination-hover-border-color: var(--bs-border-color);--bs-pagination-focus-color: var(--bs-link-hover-color);--bs-pagination-focus-bg: var(--bs-secondary-bg);--bs-pagination-focus-box-shadow: 0 0 0 .25rem rgba(13,110,253,0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #0d6efd;--bs-pagination-active-border-color: #0d6efd;--bs-pagination-disabled-color: var(--bs-secondary-color);--bs-pagination-disabled-bg: var(--bs-secondary-bg);--bs-pagination-disabled-border-color: var(--bs-border-color);display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width) * -1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: .75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x: .5rem;--bs-pagination-padding-y: .25rem;--bs-pagination-font-size:.875rem;--bs-pagination-border-radius: var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x: .65em;--bs-badge-padding-y: .35em;--bs-badge-font-size:.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius: var(--bs-border-radius);--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:.75rem;--bs-progress-bg: var(--bs-secondary-bg);--bs-progress-border-radius: var(--bs-border-radius);--bs-progress-box-shadow: var(--bs-box-shadow-inset);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #0d6efd;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media (prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media (prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: var(--bs-body-color);--bs-list-group-bg: var(--bs-body-bg);--bs-list-group-border-color: var(--bs-border-color);--bs-list-group-border-width: var(--bs-border-width);--bs-list-group-border-radius: var(--bs-border-radius);--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: .5rem;--bs-list-group-action-color: var(--bs-secondary-color);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-tertiary-bg);--bs-list-group-action-active-color: var(--bs-body-color);--bs-list-group-action-active-bg: var(--bs-secondary-bg);--bs-list-group-disabled-color: var(--bs-secondary-color);--bs-list-group-disabled-bg: var(--bs-body-bg);--bs-list-group-active-color: #fff;--bs-list-group-active-bg: #0d6efd;--bs-list-group-active-border-color: #0d6efd;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;border-radius:var(--bs-list-group-border-radius)}.list-group-numbered{list-style-type:none;counter-reset:section}.list-group-numbered>.list-group-item::before{content:counters(section, ".") ". ";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1 * var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media (min-width: 576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1400px){.list-group-horizontal-xxl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xxl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xxl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xxl>.list-group-item.active{margin-top:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e");--bs-btn-close-opacity: .5;--bs-btn-close-hover-opacity: .75;--bs-btn-close-focus-shadow: 0 0 0 .25rem rgba(13,110,253,0.25);--bs-btn-close-focus-opacity: 1;--bs-btn-close-disabled-opacity: .25;--bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:transparent var(--bs-btn-close-bg) center/1em auto no-repeat;border:0;border-radius:.375rem;opacity:var(--bs-btn-close-opacity)}.btn-close:hover{color:var(--bs-btn-close-color);text-decoration:none;opacity:var(--bs-btn-close-hover-opacity)}.btn-close:focus{outline:0;box-shadow:var(--bs-btn-close-focus-shadow);opacity:var(--bs-btn-close-focus-opacity)}.btn-close:disabled,.btn-close.disabled{pointer-events:none;user-select:none;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;opacity:var(--bs-btn-close-disabled-opacity)}.btn-close-white{filter:var(--bs-btn-close-white-filter)}[data-bs-theme="dark"] .btn-close{filter:var(--bs-btn-close-white-filter)}.toast{--bs-toast-zindex: 1090;--bs-toast-padding-x: .75rem;--bs-toast-padding-y: .5rem;--bs-toast-spacing: 1.5rem;--bs-toast-max-width: 350px;--bs-toast-font-size:.875rem;--bs-toast-color: ;--bs-toast-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-border-width: var(--bs-border-width);--bs-toast-border-color: var(--bs-border-color-translucent);--bs-toast-border-radius: var(--bs-border-radius);--bs-toast-box-shadow: var(--bs-box-shadow);--bs-toast-header-color: var(--bs-secondary-color);--bs-toast-header-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-header-border-color: var(--bs-border-color-translucent);width:var(--bs-toast-max-width);max-width:100%;font-size:var(--bs-toast-font-size);color:var(--bs-toast-color);pointer-events:auto;background-color:var(--bs-toast-bg);background-clip:padding-box;border:var(--bs-toast-border-width) solid var(--bs-toast-border-color);box-shadow:var(--bs-toast-box-shadow);border-radius:var(--bs-toast-border-radius)}.toast.showing{opacity:0}.toast:not(.show){display:none}.toast-container{--bs-toast-zindex: 1090;position:absolute;z-index:var(--bs-toast-zindex);width:max-content;width:-webkit-max-content;width:-moz-max-content;width:-ms-max-content;width:-o-max-content;max-width:100%;pointer-events:none}.toast-container>:not(:last-child){margin-bottom:var(--bs-toast-spacing)}.toast-header{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;padding:var(--bs-toast-padding-y) var(--bs-toast-padding-x);color:var(--bs-toast-header-color);background-color:var(--bs-toast-header-bg);background-clip:padding-box;border-bottom:var(--bs-toast-border-width) solid var(--bs-toast-header-border-color);border-top-left-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));border-top-right-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width))}.toast-header .btn-close{margin-right:calc(-.5 * var(--bs-toast-padding-x));margin-left:var(--bs-toast-padding-x)}.toast-body{padding:var(--bs-toast-padding-x);word-wrap:break-word}.modal{--bs-modal-zindex: 1055;--bs-modal-width: 500px;--bs-modal-padding: 1rem;--bs-modal-margin: .5rem;--bs-modal-color: ;--bs-modal-bg: var(--bs-body-bg);--bs-modal-border-color: var(--bs-border-color-translucent);--bs-modal-border-width: var(--bs-border-width);--bs-modal-border-radius: var(--bs-border-radius-lg);--bs-modal-box-shadow: 0 0.125rem 0.25rem rgba(0,0,0,0.075);--bs-modal-inner-border-radius: calc(var(--bs-border-radius-lg) - (var(--bs-border-width)));--bs-modal-header-padding-x: 1rem;--bs-modal-header-padding-y: 1rem;--bs-modal-header-padding: 1rem 1rem;--bs-modal-header-border-color: var(--bs-border-color);--bs-modal-header-border-width: var(--bs-border-width);--bs-modal-title-line-height: 1.5;--bs-modal-footer-gap: .5rem;--bs-modal-footer-bg: ;--bs-modal-footer-border-color: var(--bs-border-color);--bs-modal-footer-border-width: 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#198754;--bs-btn-border-color: #198754;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #198754;--bs-btn-hover-border-color: #198754;--bs-btn-focus-shadow-rgb: 25,135,84;--bs-btn-active-color: #fff;--bs-btn-active-bg: #198754;--bs-btn-active-border-color: #198754;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #198754;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #198754;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-info{--bs-btn-color: #0dcaf0;--bs-btn-border-color: #0dcaf0;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #0dcaf0;--bs-btn-hover-border-color: #0dcaf0;--bs-btn-focus-shadow-rgb: 13,202,240;--bs-btn-active-color: #000;--bs-btn-active-bg: #0dcaf0;--bs-btn-active-border-color: #0dcaf0;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #0dcaf0;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #0dcaf0;--bs-btn-bg: transparent;--bs-gradient: 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transparent;--bs-gradient: none}.btn-outline-light{--bs-btn-color: #f8f9fa;--bs-btn-border-color: #f8f9fa;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #f8f9fa;--bs-btn-hover-border-color: #f8f9fa;--bs-btn-focus-shadow-rgb: 248,249,250;--bs-btn-active-color: #000;--bs-btn-active-bg: #f8f9fa;--bs-btn-active-border-color: #f8f9fa;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #f8f9fa;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #f8f9fa;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-dark{--bs-btn-color: #212529;--bs-btn-border-color: #212529;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #212529;--bs-btn-hover-border-color: #212529;--bs-btn-focus-shadow-rgb: 33,37,41;--bs-btn-active-color: #fff;--bs-btn-active-bg: #212529;--bs-btn-active-border-color: #212529;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #212529;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: 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.5rem;--bs-btn-font-size:.875rem;--bs-btn-border-radius: var(--bs-border-radius-sm)}.fade{transition:opacity 0.15s linear}@media (prefers-reduced-motion: reduce){.fade{transition:none}}.fade:not(.show){opacity:0}.collapse:not(.show){display:none}.collapsing{height:0;overflow:hidden;transition:height 0.35s ease}@media (prefers-reduced-motion: reduce){.collapsing{transition:none}}.collapsing.collapse-horizontal{width:0;height:auto;transition:width 0.35s ease}@media (prefers-reduced-motion: reduce){.collapsing.collapse-horizontal{transition:none}}.dropup,.dropend,.dropdown,.dropstart,.dropup-center,.dropdown-center{position:relative}.dropdown-toggle{white-space:nowrap}.dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:.3em solid;border-right:.3em solid transparent;border-bottom:0;border-left:.3em solid transparent}.dropdown-toggle:empty::after{margin-left:0}.dropdown-menu{--bs-dropdown-zindex: 1000;--bs-dropdown-min-width: 10rem;--bs-dropdown-padding-x: 0;--bs-dropdown-padding-y: .5rem;--bs-dropdown-spacer: .125rem;--bs-dropdown-font-size:1rem;--bs-dropdown-color: var(--bs-body-color);--bs-dropdown-bg: var(--bs-body-bg);--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-border-radius: var(--bs-border-radius);--bs-dropdown-border-width: var(--bs-border-width);--bs-dropdown-inner-border-radius: calc(var(--bs-border-radius) - var(--bs-border-width));--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-divider-margin-y: .5rem;--bs-dropdown-box-shadow: 0 0.5rem 1rem rgba(0,0,0,0.15);--bs-dropdown-link-color: var(--bs-body-color);--bs-dropdown-link-hover-color: var(--bs-body-color);--bs-dropdown-link-hover-bg: var(--bs-tertiary-bg);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #0d6efd;--bs-dropdown-link-disabled-color: var(--bs-tertiary-color);--bs-dropdown-item-padding-x: 1rem;--bs-dropdown-item-padding-y: .25rem;--bs-dropdown-header-color: #6c757d;--bs-dropdown-header-padding-x: 1rem;--bs-dropdown-header-padding-y: .5rem;position:absolute;z-index:var(--bs-dropdown-zindex);display:none;min-width:var(--bs-dropdown-min-width);padding:var(--bs-dropdown-padding-y) var(--bs-dropdown-padding-x);margin:0;font-size:var(--bs-dropdown-font-size);color:var(--bs-dropdown-color);text-align:left;list-style:none;background-color:var(--bs-dropdown-bg);background-clip:padding-box;border:var(--bs-dropdown-border-width) solid var(--bs-dropdown-border-color);border-radius:var(--bs-dropdown-border-radius)}.dropdown-menu[data-bs-popper]{top:100%;left:0;margin-top:var(--bs-dropdown-spacer)}.dropdown-menu-start{--bs-position: start}.dropdown-menu-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-end{--bs-position: end}.dropdown-menu-end[data-bs-popper]{right:0;left:auto}@media (min-width: 576px){.dropdown-menu-sm-start{--bs-position: start}.dropdown-menu-sm-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-sm-end{--bs-position: end}.dropdown-menu-sm-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 768px){.dropdown-menu-md-start{--bs-position: start}.dropdown-menu-md-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-md-end{--bs-position: end}.dropdown-menu-md-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 992px){.dropdown-menu-lg-start{--bs-position: start}.dropdown-menu-lg-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-lg-end{--bs-position: end}.dropdown-menu-lg-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 1200px){.dropdown-menu-xl-start{--bs-position: start}.dropdown-menu-xl-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-xl-end{--bs-position: end}.dropdown-menu-xl-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 1400px){.dropdown-menu-xxl-start{--bs-position: start}.dropdown-menu-xxl-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-xxl-end{--bs-position: end}.dropdown-menu-xxl-end[data-bs-popper]{right:0;left:auto}}.dropup .dropdown-menu[data-bs-popper]{top:auto;bottom:100%;margin-top:0;margin-bottom:var(--bs-dropdown-spacer)}.dropup .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:0;border-right:.3em solid transparent;border-bottom:.3em solid;border-left:.3em solid transparent}.dropup .dropdown-toggle:empty::after{margin-left:0}.dropend .dropdown-menu[data-bs-popper]{top:0;right:auto;left:100%;margin-top:0;margin-left:var(--bs-dropdown-spacer)}.dropend .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:.3em solid transparent;border-right:0;border-bottom:.3em solid transparent;border-left:.3em solid}.dropend .dropdown-toggle:empty::after{margin-left:0}.dropend .dropdown-toggle::after{vertical-align:0}.dropstart .dropdown-menu[data-bs-popper]{top:0;right:100%;left:auto;margin-top:0;margin-right:var(--bs-dropdown-spacer)}.dropstart .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:""}.dropstart .dropdown-toggle::after{display:none}.dropstart .dropdown-toggle::before{display:inline-block;margin-right:.255em;vertical-align:.255em;content:"";border-top:.3em solid transparent;border-right:.3em solid;border-bottom:.3em solid transparent}.dropstart .dropdown-toggle:empty::after{margin-left:0}.dropstart .dropdown-toggle::before{vertical-align:0}.dropdown-divider{height:0;margin:var(--bs-dropdown-divider-margin-y) 0;overflow:hidden;border-top:1px solid var(--bs-dropdown-divider-bg);opacity:1}.dropdown-item{display:block;width:100%;padding:var(--bs-dropdown-item-padding-y) 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auto}.btn-group>.btn-check:checked+.btn,.btn-group>.btn-check:focus+.btn,.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn-check:checked+.btn,.btn-group-vertical>.btn-check:focus+.btn,.btn-group-vertical>.btn:hover,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn.active{z-index:1}.btn-toolbar{display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;justify-content:flex-start;-webkit-justify-content:flex-start}.btn-toolbar .input-group{width:auto}.btn-group{border-radius:var(--bs-border-radius)}.btn-group>:not(.btn-check:first-child)+.btn,.btn-group>.btn-group:not(:first-child){margin-left:calc(var(--bs-border-width) * -1)}.btn-group>.btn:not(:last-child):not(.dropdown-toggle),.btn-group>.btn.dropdown-toggle-split:first-child,.btn-group>.btn-group:not(:last-child)>.btn{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:nth-child(n + 3),.btn-group>:not(.btn-check)+.btn,.btn-group>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-bottom-left-radius:0}.dropdown-toggle-split{padding-right:.5625rem;padding-left:.5625rem}.dropdown-toggle-split::after,.dropup .dropdown-toggle-split::after,.dropend .dropdown-toggle-split::after{margin-left:0}.dropstart .dropdown-toggle-split::before{margin-right:0}.btn-sm+.dropdown-toggle-split,.btn-group-sm>.btn+.dropdown-toggle-split{padding-right:.375rem;padding-left:.375rem}.btn-lg+.dropdown-toggle-split,.btn-group-lg>.btn+.dropdown-toggle-split{padding-right:.75rem;padding-left:.75rem}.btn-group-vertical{flex-direction:column;-webkit-flex-direction:column;align-items:flex-start;-webkit-align-items:flex-start;justify-content:center;-webkit-justify-content:center}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group{width:100%}.btn-group-vertical>.btn:not(:first-child),.btn-group-vertical>.btn-group:not(:first-child){margin-top:calc(var(--bs-border-width) * -1)}.btn-group-vertical>.btn:not(:last-child):not(.dropdown-toggle),.btn-group-vertical>.btn-group:not(:last-child)>.btn{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn~.btn,.btn-group-vertical>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-top-right-radius:0}.nav{--bs-nav-link-padding-x: 1rem;--bs-nav-link-padding-y: .5rem;--bs-nav-link-font-weight: ;--bs-nav-link-color: var(--bs-link-color);--bs-nav-link-hover-color: var(--bs-link-hover-color);--bs-nav-link-disabled-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding-left:0;margin-bottom:0;list-style:none}.nav-link{display:block;padding:var(--bs-nav-link-padding-y) 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992px){.navbar-expand-lg{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-lg .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-lg .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-lg .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-lg .navbar-nav-scroll{overflow:visible}.navbar-expand-lg .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-lg .navbar-toggler{display:none}.navbar-expand-lg .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-lg .offcanvas .offcanvas-header{display:none}.navbar-expand-lg .offcanvas 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!important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand .navbar-toggler{display:none}.navbar-expand .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand .offcanvas .offcanvas-header{display:none}.navbar-expand .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}.navbar-dark,.navbar[data-bs-theme="dark"]{--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.55);--bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.75);--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.25);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.1);--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255,255,255,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}[data-bs-theme="dark"] .navbar-toggler-icon{--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255,255,255,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}.card{--bs-card-spacer-y: 1rem;--bs-card-spacer-x: 1rem;--bs-card-title-spacer-y: .5rem;--bs-card-title-color: ;--bs-card-subtitle-color: ;--bs-card-border-width: var(--bs-border-width);--bs-card-border-color: var(--bs-border-color-translucent);--bs-card-border-radius: var(--bs-border-radius);--bs-card-box-shadow: ;--bs-card-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-card-cap-padding-y: .5rem;--bs-card-cap-padding-x: 1rem;--bs-card-cap-bg: rgba(var(--bs-body-color-rgb), 0.03);--bs-card-cap-color: ;--bs-card-height: ;--bs-card-color: ;--bs-card-bg: var(--bs-body-bg);--bs-card-img-overlay-padding: 1rem;--bs-card-group-margin: .75rem;position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;min-width:0;height:var(--bs-card-height);color:var(--bs-body-color);word-wrap:break-word;background-color:var(--bs-card-bg);background-clip:border-box;border:var(--bs-card-border-width) solid var(--bs-card-border-color);border-radius:var(--bs-card-border-radius)}.card>hr{margin-right:0;margin-left:0}.card>.list-group{border-top:inherit;border-bottom:inherit}.card>.list-group:first-child{border-top-width:0;border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card>.list-group:last-child{border-bottom-width:0;border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card>.card-header+.list-group,.card>.list-group+.card-footer{border-top:0}.card-body{flex:1 1 auto;-webkit-flex:1 1 auto;padding:var(--bs-card-spacer-y) var(--bs-card-spacer-x);color:var(--bs-card-color)}.card-title{margin-bottom:var(--bs-card-title-spacer-y);color:var(--bs-card-title-color)}.card-subtitle{margin-top:calc(-.5 * var(--bs-card-title-spacer-y));margin-bottom:0;color:var(--bs-card-subtitle-color)}.card-text:last-child{margin-bottom:0}.card-link+.card-link{margin-left:var(--bs-card-spacer-x)}.card-header{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);margin-bottom:0;color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-bottom:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-header:first-child{border-radius:var(--bs-card-inner-border-radius) var(--bs-card-inner-border-radius) 0 0}.card-footer{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-top:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-footer:last-child{border-radius:0 0 var(--bs-card-inner-border-radius) var(--bs-card-inner-border-radius)}.card-header-tabs{margin-right:calc(-.5 * var(--bs-card-cap-padding-x));margin-bottom:calc(-1 * 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wrap;-webkit-flex-flow:row wrap}.card-group>.card{flex:1 0 0%;-webkit-flex:1 0 0%;margin-bottom:0}.card-group>.card+.card{margin-left:0;border-left:0}.card-group>.card:not(:last-child){border-top-right-radius:0;border-bottom-right-radius:0}.card-group>.card:not(:last-child) .card-img-top,.card-group>.card:not(:last-child) .card-header{border-top-right-radius:0}.card-group>.card:not(:last-child) .card-img-bottom,.card-group>.card:not(:last-child) .card-footer{border-bottom-right-radius:0}.card-group>.card:not(:first-child){border-top-left-radius:0;border-bottom-left-radius:0}.card-group>.card:not(:first-child) .card-img-top,.card-group>.card:not(:first-child) .card-header{border-top-left-radius:0}.card-group>.card:not(:first-child) .card-img-bottom,.card-group>.card:not(:first-child) .card-footer{border-bottom-left-radius:0}}.accordion{--bs-accordion-color: var(--bs-body-color);--bs-accordion-bg: var(--bs-body-bg);--bs-accordion-transition: color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out,border-radius 0.15s ease;--bs-accordion-border-color: var(--bs-border-color);--bs-accordion-border-width: var(--bs-border-width);--bs-accordion-border-radius: var(--bs-border-radius);--bs-accordion-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-accordion-btn-padding-x: 1.25rem;--bs-accordion-btn-padding-y: 1rem;--bs-accordion-btn-color: var(--bs-body-color);--bs-accordion-btn-bg: var(--bs-accordion-bg);--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23212529'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-icon-width: 1.25rem;--bs-accordion-btn-icon-transform: rotate(-180deg);--bs-accordion-btn-icon-transition: transform 0.2s ease-in-out;--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23052c65'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-focus-border-color: #86b7fe;--bs-accordion-btn-focus-box-shadow: 0 0 0 .25rem rgba(13,110,253,0.25);--bs-accordion-body-padding-x: 1.25rem;--bs-accordion-body-padding-y: 1rem;--bs-accordion-active-color: var(--bs-primary-text-emphasis);--bs-accordion-active-bg: var(--bs-primary-bg-subtle)}.accordion-button{position:relative;display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;width:100%;padding:var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);font-size:1rem;color:var(--bs-accordion-btn-color);text-align:left;background-color:var(--bs-accordion-btn-bg);border:0;border-radius:0;overflow-anchor:none;transition:var(--bs-accordion-transition)}@media (prefers-reduced-motion: reduce){.accordion-button{transition:none}}.accordion-button:not(.collapsed){color:var(--bs-accordion-active-color);background-color:var(--bs-accordion-active-bg);box-shadow:inset 0 calc(-1 * var(--bs-accordion-border-width)) 0 var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;-webkit-flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:"";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media (prefers-reduced-motion: reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme="dark"] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.breadcrumb{--bs-breadcrumb-padding-x: 0;--bs-breadcrumb-padding-y: 0;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color: var(--bs-secondary-color);--bs-breadcrumb-item-padding-x: .5rem;--bs-breadcrumb-item-active-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, "/") /* rtl: var(--bs-breadcrumb-divider, "/") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: .75rem;--bs-pagination-padding-y: .375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: var(--bs-body-bg);--bs-pagination-border-width: var(--bs-border-width);--bs-pagination-border-color: var(--bs-border-color);--bs-pagination-border-radius: var(--bs-border-radius);--bs-pagination-hover-color: var(--bs-link-hover-color);--bs-pagination-hover-bg: var(--bs-tertiary-bg);--bs-pagination-hover-border-color: var(--bs-border-color);--bs-pagination-focus-color: var(--bs-link-hover-color);--bs-pagination-focus-bg: var(--bs-secondary-bg);--bs-pagination-focus-box-shadow: 0 0 0 .25rem rgba(13,110,253,0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #0d6efd;--bs-pagination-active-border-color: #0d6efd;--bs-pagination-disabled-color: var(--bs-secondary-color);--bs-pagination-disabled-bg: var(--bs-secondary-bg);--bs-pagination-disabled-border-color: var(--bs-border-color);display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width) * -1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: .75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x: .5rem;--bs-pagination-padding-y: .25rem;--bs-pagination-font-size:.875rem;--bs-pagination-border-radius: var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x: .65em;--bs-badge-padding-y: .35em;--bs-badge-font-size:.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius: var(--bs-border-radius);--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:.75rem;--bs-progress-bg: var(--bs-secondary-bg);--bs-progress-border-radius: var(--bs-border-radius);--bs-progress-box-shadow: var(--bs-box-shadow-inset);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #0d6efd;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media (prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media (prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: var(--bs-body-color);--bs-list-group-bg: var(--bs-body-bg);--bs-list-group-border-color: var(--bs-border-color);--bs-list-group-border-width: var(--bs-border-width);--bs-list-group-border-radius: var(--bs-border-radius);--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: .5rem;--bs-list-group-action-color: var(--bs-secondary-color);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-tertiary-bg);--bs-list-group-action-active-color: var(--bs-body-color);--bs-list-group-action-active-bg: var(--bs-secondary-bg);--bs-list-group-disabled-color: var(--bs-secondary-color);--bs-list-group-disabled-bg: var(--bs-body-bg);--bs-list-group-active-color: #fff;--bs-list-group-active-bg: #0d6efd;--bs-list-group-active-border-color: #0d6efd;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;border-radius:var(--bs-list-group-border-radius)}.list-group-numbered{list-style-type:none;counter-reset:section}.list-group-numbered>.list-group-item::before{content:counters(section, ".") 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var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1 * var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media (min-width: 576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 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var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e");--bs-btn-close-opacity: .5;--bs-btn-close-hover-opacity: .75;--bs-btn-close-focus-shadow: 0 0 0 .25rem rgba(13,110,253,0.25);--bs-btn-close-focus-opacity: 1;--bs-btn-close-disabled-opacity: .25;--bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:transparent var(--bs-btn-close-bg) center/1em auto no-repeat;border:0;border-radius:.375rem;opacity:var(--bs-btn-close-opacity)}.btn-close:hover{color:var(--bs-btn-close-color);text-decoration:none;opacity:var(--bs-btn-close-hover-opacity)}.btn-close:focus{outline:0;box-shadow:var(--bs-btn-close-focus-shadow);opacity:var(--bs-btn-close-focus-opacity)}.btn-close:disabled,.btn-close.disabled{pointer-events:none;user-select:none;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;opacity:var(--bs-btn-close-disabled-opacity)}.btn-close-white{filter:var(--bs-btn-close-white-filter)}[data-bs-theme="dark"] .btn-close{filter:var(--bs-btn-close-white-filter)}.toast{--bs-toast-zindex: 1090;--bs-toast-padding-x: .75rem;--bs-toast-padding-y: .5rem;--bs-toast-spacing: 1.5rem;--bs-toast-max-width: 350px;--bs-toast-font-size:.875rem;--bs-toast-color: ;--bs-toast-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-border-width: var(--bs-border-width);--bs-toast-border-color: var(--bs-border-color-translucent);--bs-toast-border-radius: var(--bs-border-radius);--bs-toast-box-shadow: var(--bs-box-shadow);--bs-toast-header-color: var(--bs-secondary-color);--bs-toast-header-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-header-border-color: var(--bs-border-color-translucent);width:var(--bs-toast-max-width);max-width:100%;font-size:var(--bs-toast-font-size);color:var(--bs-toast-color);pointer-events:auto;background-color:var(--bs-toast-bg);background-clip:padding-box;border:var(--bs-toast-border-width) solid var(--bs-toast-border-color);box-shadow:var(--bs-toast-box-shadow);border-radius:var(--bs-toast-border-radius)}.toast.showing{opacity:0}.toast:not(.show){display:none}.toast-container{--bs-toast-zindex: 1090;position:absolute;z-index:var(--bs-toast-zindex);width:max-content;width:-webkit-max-content;width:-moz-max-content;width:-ms-max-content;width:-o-max-content;max-width:100%;pointer-events:none}.toast-container>:not(:last-child){margin-bottom:var(--bs-toast-spacing)}.toast-header{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;padding:var(--bs-toast-padding-y) var(--bs-toast-padding-x);color:var(--bs-toast-header-color);background-color:var(--bs-toast-header-bg);background-clip:padding-box;border-bottom:var(--bs-toast-border-width) solid var(--bs-toast-header-border-color);border-top-left-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));border-top-right-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width))}.toast-header .btn-close{margin-right:calc(-.5 * var(--bs-toast-padding-x));margin-left:var(--bs-toast-padding-x)}.toast-body{padding:var(--bs-toast-padding-x);word-wrap:break-word}.modal{--bs-modal-zindex: 1055;--bs-modal-width: 500px;--bs-modal-padding: 1rem;--bs-modal-margin: .5rem;--bs-modal-color: ;--bs-modal-bg: var(--bs-body-bg);--bs-modal-border-color: var(--bs-border-color-translucent);--bs-modal-border-width: var(--bs-border-width);--bs-modal-border-radius: var(--bs-border-radius-lg);--bs-modal-box-shadow: 0 0.125rem 0.25rem rgba(0,0,0,0.075);--bs-modal-inner-border-radius: calc(var(--bs-border-radius-lg) - (var(--bs-border-width)));--bs-modal-header-padding-x: 1rem;--bs-modal-header-padding-y: 1rem;--bs-modal-header-padding: 1rem 1rem;--bs-modal-header-border-color: var(--bs-border-color);--bs-modal-header-border-width: var(--bs-border-width);--bs-modal-title-line-height: 1.5;--bs-modal-footer-gap: .5rem;--bs-modal-footer-bg: ;--bs-modal-footer-border-color: var(--bs-border-color);--bs-modal-footer-border-width: 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new file mode 100644
index 0000000..c628326
--- /dev/null
+++ b/deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js
@@ -0,0 +1,5 @@
+/*!
+ * Bootstrap Table of Contents v1.0.1 (http://afeld.github.io/bootstrap-toc/)
+ * Copyright 2015 Aidan Feldman
+ * Licensed under MIT (https://github.com/afeld/bootstrap-toc/blob/gh-pages/LICENSE.md) */
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diff --git a/deps/clipboard.js-2.0.11/clipboard.min.js b/deps/clipboard.js-2.0.11/clipboard.min.js
new file mode 100644
index 0000000..1103f81
--- /dev/null
+++ b/deps/clipboard.js-2.0.11/clipboard.min.js
@@ -0,0 +1,7 @@
+/*!
+ * clipboard.js v2.0.11
+ * https://clipboardjs.com/
+ *
+ * Licensed MIT © Zeno Rocha
+ */
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n[t],this}},t.exports=e,t.exports.TinyEmitter=e}},r={},o.n=function(t){var e=t&&t.__esModule?function(){return t.default}:function(){return t};return o.d(e,{a:e}),e},o.d=function(t,e){for(var n in e)o.o(e,n)&&!o.o(t,n)&&Object.defineProperty(t,n,{enumerable:!0,get:e[n]})},o.o=function(t,e){return Object.prototype.hasOwnProperty.call(t,e)},o(686).default;function o(t){if(r[t])return r[t].exports;var e=r[t]={exports:{}};return n[t](e,e.exports,o),e.exports}var n,r});
\ No newline at end of file
diff --git a/deps/data-deps.txt b/deps/data-deps.txt
index 693b82d..8aa49e2 100644
--- a/deps/data-deps.txt
+++ b/deps/data-deps.txt
@@ -2,3 +2,12 @@
 <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no" />
 <link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet" />
 <script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script>
+<link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet" />
+<link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet" />
+<script src="deps/headroom-0.11.0/headroom.min.js"></script>
+<script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script>
+<script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script>
+<script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script>
+<script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script>
+<script src="deps/search-1.0.0/fuse.min.js"></script>
+<script src="deps/search-1.0.0/mark.min.js"></script>
diff --git a/deps/font-awesome-6.4.2/css/all.css b/deps/font-awesome-6.4.2/css/all.css
new file mode 100644
index 0000000..bdb6e3a
--- /dev/null
+++ b/deps/font-awesome-6.4.2/css/all.css
@@ -0,0 +1,7968 @@
+/*!
+ * Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2023 Fonticons, Inc.
+ */
+.fa {
+  font-family: var(--fa-style-family, "Font Awesome 6 Free");
+  font-weight: var(--fa-style, 900); }
+
+.fa,
+.fa-classic,
+.fa-sharp,
+.fas,
+.fa-solid,
+.far,
+.fa-regular,
+.fab,
+.fa-brands {
+  -moz-osx-font-smoothing: grayscale;
+  -webkit-font-smoothing: antialiased;
+  display: var(--fa-display, inline-block);
+  font-style: normal;
+  font-variant: normal;
+  line-height: 1;
+  text-rendering: auto; }
+
+.fas,
+.fa-classic,
+.fa-solid,
+.far,
+.fa-regular {
+  font-family: 'Font Awesome 6 Free'; }
+
+.fab,
+.fa-brands {
+  font-family: 'Font Awesome 6 Brands'; }
+
+.fa-1x {
+  font-size: 1em; }
+
+.fa-2x {
+  font-size: 2em; }
+
+.fa-3x {
+  font-size: 3em; }
+
+.fa-4x {
+  font-size: 4em; }
+
+.fa-5x {
+  font-size: 5em; }
+
+.fa-6x {
+  font-size: 6em; }
+
+.fa-7x {
+  font-size: 7em; }
+
+.fa-8x {
+  font-size: 8em; }
+
+.fa-9x {
+  font-size: 9em; }
+
+.fa-10x {
+  font-size: 10em; }
+
+.fa-2xs {
+  font-size: 0.625em;
+  line-height: 0.1em;
+  vertical-align: 0.225em; }
+
+.fa-xs {
+  font-size: 0.75em;
+  line-height: 0.08333em;
+  vertical-align: 0.125em; }
+
+.fa-sm {
+  font-size: 0.875em;
+  line-height: 0.07143em;
+  vertical-align: 0.05357em; }
+
+.fa-lg {
+  font-size: 1.25em;
+  line-height: 0.05em;
+  vertical-align: -0.075em; }
+
+.fa-xl {
+  font-size: 1.5em;
+  line-height: 0.04167em;
+  vertical-align: -0.125em; }
+
+.fa-2xl {
+  font-size: 2em;
+  line-height: 0.03125em;
+  vertical-align: -0.1875em; }
+
+.fa-fw {
+  text-align: center;
+  width: 1.25em; }
+
+.fa-ul {
+  list-style-type: none;
+  margin-left: var(--fa-li-margin, 2.5em);
+  padding-left: 0; }
+  .fa-ul > li {
+    position: relative; }
+
+.fa-li {
+  left: calc(var(--fa-li-width, 2em) * -1);
+  position: absolute;
+  text-align: center;
+  width: var(--fa-li-width, 2em);
+  line-height: inherit; }
+
+.fa-border {
+  border-color: var(--fa-border-color, #eee);
+  border-radius: var(--fa-border-radius, 0.1em);
+  border-style: var(--fa-border-style, solid);
+  border-width: var(--fa-border-width, 0.08em);
+  padding: var(--fa-border-padding, 0.2em 0.25em 0.15em); }
+
+.fa-pull-left {
+  float: left;
+  margin-right: var(--fa-pull-margin, 0.3em); }
+
+.fa-pull-right {
+  float: right;
+  margin-left: var(--fa-pull-margin, 0.3em); }
+
+.fa-beat {
+  -webkit-animation-name: fa-beat;
+          animation-name: fa-beat;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, ease-in-out);
+          animation-timing-function: var(--fa-animation-timing, ease-in-out); }
+
+.fa-bounce {
+  -webkit-animation-name: fa-bounce;
+          animation-name: fa-bounce;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.28, 0.84, 0.42, 1));
+          animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.28, 0.84, 0.42, 1)); }
+
+.fa-fade {
+  -webkit-animation-name: fa-fade;
+          animation-name: fa-fade;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1));
+          animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); }
+
+.fa-beat-fade {
+  -webkit-animation-name: fa-beat-fade;
+          animation-name: fa-beat-fade;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1));
+          animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); }
+
+.fa-flip {
+  -webkit-animation-name: fa-flip;
+          animation-name: fa-flip;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, ease-in-out);
+          animation-timing-function: var(--fa-animation-timing, ease-in-out); }
+
+.fa-shake {
+  -webkit-animation-name: fa-shake;
+          animation-name: fa-shake;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, linear);
+          animation-timing-function: var(--fa-animation-timing, linear); }
+
+.fa-spin {
+  -webkit-animation-name: fa-spin;
+          animation-name: fa-spin;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 2s);
+          animation-duration: var(--fa-animation-duration, 2s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, linear);
+          animation-timing-function: var(--fa-animation-timing, linear); }
+
+.fa-spin-reverse {
+  --fa-animation-direction: reverse; }
+
+.fa-pulse,
+.fa-spin-pulse {
+  -webkit-animation-name: fa-spin;
+          animation-name: fa-spin;
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, steps(8));
+          animation-timing-function: var(--fa-animation-timing, steps(8)); }
+
+@media (prefers-reduced-motion: reduce) {
+  .fa-beat,
+  .fa-bounce,
+  .fa-fade,
+  .fa-beat-fade,
+  .fa-flip,
+  .fa-pulse,
+  .fa-shake,
+  .fa-spin,
+  .fa-spin-pulse {
+    -webkit-animation-delay: -1ms;
+            animation-delay: -1ms;
+    -webkit-animation-duration: 1ms;
+            animation-duration: 1ms;
+    -webkit-animation-iteration-count: 1;
+            animation-iteration-count: 1;
+    -webkit-transition-delay: 0s;
+            transition-delay: 0s;
+    -webkit-transition-duration: 0s;
+            transition-duration: 0s; } }
+
+@-webkit-keyframes fa-beat {
+  0%, 90% {
+    -webkit-transform: scale(1);
+            transform: scale(1); }
+  45% {
+    -webkit-transform: scale(var(--fa-beat-scale, 1.25));
+            transform: scale(var(--fa-beat-scale, 1.25)); } }
+
+@keyframes fa-beat {
+  0%, 90% {
+    -webkit-transform: scale(1);
+            transform: scale(1); }
+  45% {
+    -webkit-transform: scale(var(--fa-beat-scale, 1.25));
+            transform: scale(var(--fa-beat-scale, 1.25)); } }
+
+@-webkit-keyframes fa-bounce {
+  0% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); }
+  10% {
+    -webkit-transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0);
+            transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); }
+  30% {
+    -webkit-transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em));
+            transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); }
+  50% {
+    -webkit-transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0);
+            transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); }
+  57% {
+    -webkit-transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em));
+            transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); }
+  64% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); }
+  100% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); } }
+
+@keyframes fa-bounce {
+  0% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); }
+  10% {
+    -webkit-transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0);
+            transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); }
+  30% {
+    -webkit-transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em));
+            transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); }
+  50% {
+    -webkit-transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0);
+            transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); }
+  57% {
+    -webkit-transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em));
+            transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); }
+  64% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); }
+  100% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); } }
+
+@-webkit-keyframes fa-fade {
+  50% {
+    opacity: var(--fa-fade-opacity, 0.4); } }
+
+@keyframes fa-fade {
+  50% {
+    opacity: var(--fa-fade-opacity, 0.4); } }
+
+@-webkit-keyframes fa-beat-fade {
+  0%, 100% {
+    opacity: var(--fa-beat-fade-opacity, 0.4);
+    -webkit-transform: scale(1);
+            transform: scale(1); }
+  50% {
+    opacity: 1;
+    -webkit-transform: scale(var(--fa-beat-fade-scale, 1.125));
+            transform: scale(var(--fa-beat-fade-scale, 1.125)); } }
+
+@keyframes fa-beat-fade {
+  0%, 100% {
+    opacity: var(--fa-beat-fade-opacity, 0.4);
+    -webkit-transform: scale(1);
+            transform: scale(1); }
+  50% {
+    opacity: 1;
+    -webkit-transform: scale(var(--fa-beat-fade-scale, 1.125));
+            transform: scale(var(--fa-beat-fade-scale, 1.125)); } }
+
+@-webkit-keyframes fa-flip {
+  50% {
+    -webkit-transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg));
+            transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); } }
+
+@keyframes fa-flip {
+  50% {
+    -webkit-transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg));
+            transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); } }
+
+@-webkit-keyframes fa-shake {
+  0% {
+    -webkit-transform: rotate(-15deg);
+            transform: rotate(-15deg); }
+  4% {
+    -webkit-transform: rotate(15deg);
+            transform: rotate(15deg); }
+  8%, 24% {
+    -webkit-transform: rotate(-18deg);
+            transform: rotate(-18deg); }
+  12%, 28% {
+    -webkit-transform: rotate(18deg);
+            transform: rotate(18deg); }
+  16% {
+    -webkit-transform: rotate(-22deg);
+            transform: rotate(-22deg); }
+  20% {
+    -webkit-transform: rotate(22deg);
+            transform: rotate(22deg); }
+  32% {
+    -webkit-transform: rotate(-12deg);
+            transform: rotate(-12deg); }
+  36% {
+    -webkit-transform: rotate(12deg);
+            transform: rotate(12deg); }
+  40%, 100% {
+    -webkit-transform: rotate(0deg);
+            transform: rotate(0deg); } }
+
+@keyframes fa-shake {
+  0% {
+    -webkit-transform: rotate(-15deg);
+            transform: rotate(-15deg); }
+  4% {
+    -webkit-transform: rotate(15deg);
+            transform: rotate(15deg); }
+  8%, 24% {
+    -webkit-transform: rotate(-18deg);
+            transform: rotate(-18deg); }
+  12%, 28% {
+    -webkit-transform: rotate(18deg);
+            transform: rotate(18deg); }
+  16% {
+    -webkit-transform: rotate(-22deg);
+            transform: rotate(-22deg); }
+  20% {
+    -webkit-transform: rotate(22deg);
+            transform: rotate(22deg); }
+  32% {
+    -webkit-transform: rotate(-12deg);
+            transform: rotate(-12deg); }
+  36% {
+    -webkit-transform: rotate(12deg);
+            transform: rotate(12deg); }
+  40%, 100% {
+    -webkit-transform: rotate(0deg);
+            transform: rotate(0deg); } }
+
+@-webkit-keyframes fa-spin {
+  0% {
+    -webkit-transform: rotate(0deg);
+            transform: rotate(0deg); }
+  100% {
+    -webkit-transform: rotate(360deg);
+            transform: rotate(360deg); } }
+
+@keyframes fa-spin {
+  0% {
+    -webkit-transform: rotate(0deg);
+            transform: rotate(0deg); }
+  100% {
+    -webkit-transform: rotate(360deg);
+            transform: rotate(360deg); } }
+
+.fa-rotate-90 {
+  -webkit-transform: rotate(90deg);
+          transform: rotate(90deg); }
+
+.fa-rotate-180 {
+  -webkit-transform: rotate(180deg);
+          transform: rotate(180deg); }
+
+.fa-rotate-270 {
+  -webkit-transform: rotate(270deg);
+          transform: rotate(270deg); }
+
+.fa-flip-horizontal {
+  -webkit-transform: scale(-1, 1);
+          transform: scale(-1, 1); }
+
+.fa-flip-vertical {
+  -webkit-transform: scale(1, -1);
+          transform: scale(1, -1); }
+
+.fa-flip-both,
+.fa-flip-horizontal.fa-flip-vertical {
+  -webkit-transform: scale(-1, -1);
+          transform: scale(-1, -1); }
+
+.fa-rotate-by {
+  -webkit-transform: rotate(var(--fa-rotate-angle, none));
+          transform: rotate(var(--fa-rotate-angle, none)); }
+
+.fa-stack {
+  display: inline-block;
+  height: 2em;
+  line-height: 2em;
+  position: relative;
+  vertical-align: middle;
+  width: 2.5em; }
+
+.fa-stack-1x,
+.fa-stack-2x {
+  left: 0;
+  position: absolute;
+  text-align: center;
+  width: 100%;
+  z-index: var(--fa-stack-z-index, auto); }
+
+.fa-stack-1x {
+  line-height: inherit; }
+
+.fa-stack-2x {
+  font-size: 2em; }
+
+.fa-inverse {
+  color: var(--fa-inverse, #fff); }
+
+/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen
+readers do not read off random characters that represent icons */
+
+.fa-0::before {
+  content: "\30"; }
+
+.fa-1::before {
+  content: "\31"; }
+
+.fa-2::before {
+  content: "\32"; }
+
+.fa-3::before {
+  content: "\33"; }
+
+.fa-4::before {
+  content: "\34"; }
+
+.fa-5::before {
+  content: "\35"; }
+
+.fa-6::before {
+  content: "\36"; }
+
+.fa-7::before {
+  content: "\37"; }
+
+.fa-8::before {
+  content: "\38"; }
+
+.fa-9::before {
+  content: "\39"; }
+
+.fa-fill-drip::before {
+  content: "\f576"; }
+
+.fa-arrows-to-circle::before {
+  content: "\e4bd"; }
+
+.fa-circle-chevron-right::before {
+  content: "\f138"; }
+
+.fa-chevron-circle-right::before {
+  content: "\f138"; }
+
+.fa-at::before {
+  content: "\40"; }
+
+.fa-trash-can::before {
+  content: "\f2ed"; }
+
+.fa-trash-alt::before {
+  content: "\f2ed"; }
+
+.fa-text-height::before {
+  content: "\f034"; }
+
+.fa-user-xmark::before {
+  content: "\f235"; }
+
+.fa-user-times::before {
+  content: "\f235"; }
+
+.fa-stethoscope::before {
+  content: "\f0f1"; }
+
+.fa-message::before {
+  content: "\f27a"; }
+
+.fa-comment-alt::before {
+  content: "\f27a"; }
+
+.fa-info::before {
+  content: "\f129"; }
+
+.fa-down-left-and-up-right-to-center::before {
+  content: "\f422"; }
+
+.fa-compress-alt::before {
+  content: "\f422"; }
+
+.fa-explosion::before {
+  content: "\e4e9"; }
+
+.fa-file-lines::before {
+  content: "\f15c"; }
+
+.fa-file-alt::before {
+  content: "\f15c"; }
+
+.fa-file-text::before {
+  content: "\f15c"; }
+
+.fa-wave-square::before {
+  content: "\f83e"; }
+
+.fa-ring::before {
+  content: "\f70b"; }
+
+.fa-building-un::before {
+  content: "\e4d9"; }
+
+.fa-dice-three::before {
+  content: "\f527"; }
+
+.fa-calendar-days::before {
+  content: "\f073"; }
+
+.fa-calendar-alt::before {
+  content: "\f073"; }
+
+.fa-anchor-circle-check::before {
+  content: "\e4aa"; }
+
+.fa-building-circle-arrow-right::before {
+  content: "\e4d1"; }
+
+.fa-volleyball::before {
+  content: "\f45f"; }
+
+.fa-volleyball-ball::before {
+  content: "\f45f"; }
+
+.fa-arrows-up-to-line::before {
+  content: "\e4c2"; }
+
+.fa-sort-down::before {
+  content: "\f0dd"; }
+
+.fa-sort-desc::before {
+  content: "\f0dd"; }
+
+.fa-circle-minus::before {
+  content: "\f056"; }
+
+.fa-minus-circle::before {
+  content: "\f056"; }
+
+.fa-door-open::before {
+  content: "\f52b"; }
+
+.fa-right-from-bracket::before {
+  content: "\f2f5"; }
+
+.fa-sign-out-alt::before {
+  content: "\f2f5"; }
+
+.fa-atom::before {
+  content: "\f5d2"; }
+
+.fa-soap::before {
+  content: "\e06e"; }
+
+.fa-icons::before {
+  content: "\f86d"; }
+
+.fa-heart-music-camera-bolt::before {
+  content: "\f86d"; }
+
+.fa-microphone-lines-slash::before {
+  content: "\f539"; }
+
+.fa-microphone-alt-slash::before {
+  content: "\f539"; }
+
+.fa-bridge-circle-check::before {
+  content: "\e4c9"; }
+
+.fa-pump-medical::before {
+  content: "\e06a"; }
+
+.fa-fingerprint::before {
+  content: "\f577"; }
+
+.fa-hand-point-right::before {
+  content: "\f0a4"; }
+
+.fa-magnifying-glass-location::before {
+  content: "\f689"; }
+
+.fa-search-location::before {
+  content: "\f689"; }
+
+.fa-forward-step::before {
+  content: "\f051"; }
+
+.fa-step-forward::before {
+  content: "\f051"; }
+
+.fa-face-smile-beam::before {
+  content: "\f5b8"; }
+
+.fa-smile-beam::before {
+  content: "\f5b8"; }
+
+.fa-flag-checkered::before {
+  content: "\f11e"; }
+
+.fa-football::before {
+  content: "\f44e"; }
+
+.fa-football-ball::before {
+  content: "\f44e"; }
+
+.fa-school-circle-exclamation::before {
+  content: "\e56c"; }
+
+.fa-crop::before {
+  content: "\f125"; }
+
+.fa-angles-down::before {
+  content: "\f103"; }
+
+.fa-angle-double-down::before {
+  content: "\f103"; }
+
+.fa-users-rectangle::before {
+  content: "\e594"; }
+
+.fa-people-roof::before {
+  content: "\e537"; }
+
+.fa-people-line::before {
+  content: "\e534"; }
+
+.fa-beer-mug-empty::before {
+  content: "\f0fc"; }
+
+.fa-beer::before {
+  content: "\f0fc"; }
+
+.fa-diagram-predecessor::before {
+  content: "\e477"; }
+
+.fa-arrow-up-long::before {
+  content: "\f176"; }
+
+.fa-long-arrow-up::before {
+  content: "\f176"; }
+
+.fa-fire-flame-simple::before {
+  content: "\f46a"; }
+
+.fa-burn::before {
+  content: "\f46a"; }
+
+.fa-person::before {
+  content: "\f183"; }
+
+.fa-male::before {
+  content: "\f183"; }
+
+.fa-laptop::before {
+  content: "\f109"; }
+
+.fa-file-csv::before {
+  content: "\f6dd"; }
+
+.fa-menorah::before {
+  content: "\f676"; }
+
+.fa-truck-plane::before {
+  content: "\e58f"; }
+
+.fa-record-vinyl::before {
+  content: "\f8d9"; }
+
+.fa-face-grin-stars::before {
+  content: "\f587"; }
+
+.fa-grin-stars::before {
+  content: "\f587"; }
+
+.fa-bong::before {
+  content: "\f55c"; }
+
+.fa-spaghetti-monster-flying::before {
+  content: "\f67b"; }
+
+.fa-pastafarianism::before {
+  content: "\f67b"; }
+
+.fa-arrow-down-up-across-line::before {
+  content: "\e4af"; }
+
+.fa-spoon::before {
+  content: "\f2e5"; }
+
+.fa-utensil-spoon::before {
+  content: "\f2e5"; }
+
+.fa-jar-wheat::before {
+  content: "\e517"; }
+
+.fa-envelopes-bulk::before {
+  content: "\f674"; }
+
+.fa-mail-bulk::before {
+  content: "\f674"; }
+
+.fa-file-circle-exclamation::before {
+  content: "\e4eb"; }
+
+.fa-circle-h::before {
+  content: "\f47e"; }
+
+.fa-hospital-symbol::before {
+  content: "\f47e"; }
+
+.fa-pager::before {
+  content: "\f815"; }
+
+.fa-address-book::before {
+  content: "\f2b9"; }
+
+.fa-contact-book::before {
+  content: "\f2b9"; }
+
+.fa-strikethrough::before {
+  content: "\f0cc"; }
+
+.fa-k::before {
+  content: "\4b"; }
+
+.fa-landmark-flag::before {
+  content: "\e51c"; }
+
+.fa-pencil::before {
+  content: "\f303"; }
+
+.fa-pencil-alt::before {
+  content: "\f303"; }
+
+.fa-backward::before {
+  content: "\f04a"; }
+
+.fa-caret-right::before {
+  content: "\f0da"; }
+
+.fa-comments::before {
+  content: "\f086"; }
+
+.fa-paste::before {
+  content: "\f0ea"; }
+
+.fa-file-clipboard::before {
+  content: "\f0ea"; }
+
+.fa-code-pull-request::before {
+  content: "\e13c"; }
+
+.fa-clipboard-list::before {
+  content: "\f46d"; }
+
+.fa-truck-ramp-box::before {
+  content: "\f4de"; }
+
+.fa-truck-loading::before {
+  content: "\f4de"; }
+
+.fa-user-check::before {
+  content: "\f4fc"; }
+
+.fa-vial-virus::before {
+  content: "\e597"; }
+
+.fa-sheet-plastic::before {
+  content: "\e571"; }
+
+.fa-blog::before {
+  content: "\f781"; }
+
+.fa-user-ninja::before {
+  content: "\f504"; }
+
+.fa-person-arrow-up-from-line::before {
+  content: "\e539"; }
+
+.fa-scroll-torah::before {
+  content: "\f6a0"; }
+
+.fa-torah::before {
+  content: "\f6a0"; }
+
+.fa-broom-ball::before {
+  content: "\f458"; }
+
+.fa-quidditch::before {
+  content: "\f458"; }
+
+.fa-quidditch-broom-ball::before {
+  content: "\f458"; }
+
+.fa-toggle-off::before {
+  content: "\f204"; }
+
+.fa-box-archive::before {
+  content: "\f187"; }
+
+.fa-archive::before {
+  content: "\f187"; }
+
+.fa-person-drowning::before {
+  content: "\e545"; }
+
+.fa-arrow-down-9-1::before {
+  content: "\f886"; }
+
+.fa-sort-numeric-desc::before {
+  content: "\f886"; }
+
+.fa-sort-numeric-down-alt::before {
+  content: "\f886"; }
+
+.fa-face-grin-tongue-squint::before {
+  content: "\f58a"; }
+
+.fa-grin-tongue-squint::before {
+  content: "\f58a"; }
+
+.fa-spray-can::before {
+  content: "\f5bd"; }
+
+.fa-truck-monster::before {
+  content: "\f63b"; }
+
+.fa-w::before {
+  content: "\57"; }
+
+.fa-earth-africa::before {
+  content: "\f57c"; }
+
+.fa-globe-africa::before {
+  content: "\f57c"; }
+
+.fa-rainbow::before {
+  content: "\f75b"; }
+
+.fa-circle-notch::before {
+  content: "\f1ce"; }
+
+.fa-tablet-screen-button::before {
+  content: "\f3fa"; }
+
+.fa-tablet-alt::before {
+  content: "\f3fa"; }
+
+.fa-paw::before {
+  content: "\f1b0"; }
+
+.fa-cloud::before {
+  content: "\f0c2"; }
+
+.fa-trowel-bricks::before {
+  content: "\e58a"; }
+
+.fa-face-flushed::before {
+  content: "\f579"; }
+
+.fa-flushed::before {
+  content: "\f579"; }
+
+.fa-hospital-user::before {
+  content: "\f80d"; }
+
+.fa-tent-arrow-left-right::before {
+  content: "\e57f"; }
+
+.fa-gavel::before {
+  content: "\f0e3"; }
+
+.fa-legal::before {
+  content: "\f0e3"; }
+
+.fa-binoculars::before {
+  content: "\f1e5"; }
+
+.fa-microphone-slash::before {
+  content: "\f131"; }
+
+.fa-box-tissue::before {
+  content: "\e05b"; }
+
+.fa-motorcycle::before {
+  content: "\f21c"; }
+
+.fa-bell-concierge::before {
+  content: "\f562"; }
+
+.fa-concierge-bell::before {
+  content: "\f562"; }
+
+.fa-pen-ruler::before {
+  content: "\f5ae"; }
+
+.fa-pencil-ruler::before {
+  content: "\f5ae"; }
+
+.fa-people-arrows::before {
+  content: "\e068"; }
+
+.fa-people-arrows-left-right::before {
+  content: "\e068"; }
+
+.fa-mars-and-venus-burst::before {
+  content: "\e523"; }
+
+.fa-square-caret-right::before {
+  content: "\f152"; }
+
+.fa-caret-square-right::before {
+  content: "\f152"; }
+
+.fa-scissors::before {
+  content: "\f0c4"; }
+
+.fa-cut::before {
+  content: "\f0c4"; }
+
+.fa-sun-plant-wilt::before {
+  content: "\e57a"; }
+
+.fa-toilets-portable::before {
+  content: "\e584"; }
+
+.fa-hockey-puck::before {
+  content: "\f453"; }
+
+.fa-table::before {
+  content: "\f0ce"; }
+
+.fa-magnifying-glass-arrow-right::before {
+  content: "\e521"; }
+
+.fa-tachograph-digital::before {
+  content: "\f566"; }
+
+.fa-digital-tachograph::before {
+  content: "\f566"; }
+
+.fa-users-slash::before {
+  content: "\e073"; }
+
+.fa-clover::before {
+  content: "\e139"; }
+
+.fa-reply::before {
+  content: "\f3e5"; }
+
+.fa-mail-reply::before {
+  content: "\f3e5"; }
+
+.fa-star-and-crescent::before {
+  content: "\f699"; }
+
+.fa-house-fire::before {
+  content: "\e50c"; }
+
+.fa-square-minus::before {
+  content: "\f146"; }
+
+.fa-minus-square::before {
+  content: "\f146"; }
+
+.fa-helicopter::before {
+  content: "\f533"; }
+
+.fa-compass::before {
+  content: "\f14e"; }
+
+.fa-square-caret-down::before {
+  content: "\f150"; }
+
+.fa-caret-square-down::before {
+  content: "\f150"; }
+
+.fa-file-circle-question::before {
+  content: "\e4ef"; }
+
+.fa-laptop-code::before {
+  content: "\f5fc"; }
+
+.fa-swatchbook::before {
+  content: "\f5c3"; }
+
+.fa-prescription-bottle::before {
+  content: "\f485"; }
+
+.fa-bars::before {
+  content: "\f0c9"; }
+
+.fa-navicon::before {
+  content: "\f0c9"; }
+
+.fa-people-group::before {
+  content: "\e533"; }
+
+.fa-hourglass-end::before {
+  content: "\f253"; }
+
+.fa-hourglass-3::before {
+  content: "\f253"; }
+
+.fa-heart-crack::before {
+  content: "\f7a9"; }
+
+.fa-heart-broken::before {
+  content: "\f7a9"; }
+
+.fa-square-up-right::before {
+  content: "\f360"; }
+
+.fa-external-link-square-alt::before {
+  content: "\f360"; }
+
+.fa-face-kiss-beam::before {
+  content: "\f597"; }
+
+.fa-kiss-beam::before {
+  content: "\f597"; }
+
+.fa-film::before {
+  content: "\f008"; }
+
+.fa-ruler-horizontal::before {
+  content: "\f547"; }
+
+.fa-people-robbery::before {
+  content: "\e536"; }
+
+.fa-lightbulb::before {
+  content: "\f0eb"; }
+
+.fa-caret-left::before {
+  content: "\f0d9"; }
+
+.fa-circle-exclamation::before {
+  content: "\f06a"; }
+
+.fa-exclamation-circle::before {
+  content: "\f06a"; }
+
+.fa-school-circle-xmark::before {
+  content: "\e56d"; }
+
+.fa-arrow-right-from-bracket::before {
+  content: "\f08b"; }
+
+.fa-sign-out::before {
+  content: "\f08b"; }
+
+.fa-circle-chevron-down::before {
+  content: "\f13a"; }
+
+.fa-chevron-circle-down::before {
+  content: "\f13a"; }
+
+.fa-unlock-keyhole::before {
+  content: "\f13e"; }
+
+.fa-unlock-alt::before {
+  content: "\f13e"; }
+
+.fa-cloud-showers-heavy::before {
+  content: "\f740"; }
+
+.fa-headphones-simple::before {
+  content: "\f58f"; }
+
+.fa-headphones-alt::before {
+  content: "\f58f"; }
+
+.fa-sitemap::before {
+  content: "\f0e8"; }
+
+.fa-circle-dollar-to-slot::before {
+  content: "\f4b9"; }
+
+.fa-donate::before {
+  content: "\f4b9"; }
+
+.fa-memory::before {
+  content: "\f538"; }
+
+.fa-road-spikes::before {
+  content: "\e568"; }
+
+.fa-fire-burner::before {
+  content: "\e4f1"; }
+
+.fa-flag::before {
+  content: "\f024"; }
+
+.fa-hanukiah::before {
+  content: "\f6e6"; }
+
+.fa-feather::before {
+  content: "\f52d"; }
+
+.fa-volume-low::before {
+  content: "\f027"; }
+
+.fa-volume-down::before {
+  content: "\f027"; }
+
+.fa-comment-slash::before {
+  content: "\f4b3"; }
+
+.fa-cloud-sun-rain::before {
+  content: "\f743"; }
+
+.fa-compress::before {
+  content: "\f066"; }
+
+.fa-wheat-awn::before {
+  content: "\e2cd"; }
+
+.fa-wheat-alt::before {
+  content: "\e2cd"; }
+
+.fa-ankh::before {
+  content: "\f644"; }
+
+.fa-hands-holding-child::before {
+  content: "\e4fa"; }
+
+.fa-asterisk::before {
+  content: "\2a"; }
+
+.fa-square-check::before {
+  content: "\f14a"; }
+
+.fa-check-square::before {
+  content: "\f14a"; }
+
+.fa-peseta-sign::before {
+  content: "\e221"; }
+
+.fa-heading::before {
+  content: "\f1dc"; }
+
+.fa-header::before {
+  content: "\f1dc"; }
+
+.fa-ghost::before {
+  content: "\f6e2"; }
+
+.fa-list::before {
+  content: "\f03a"; }
+
+.fa-list-squares::before {
+  content: "\f03a"; }
+
+.fa-square-phone-flip::before {
+  content: "\f87b"; }
+
+.fa-phone-square-alt::before {
+  content: "\f87b"; }
+
+.fa-cart-plus::before {
+  content: "\f217"; }
+
+.fa-gamepad::before {
+  content: "\f11b"; }
+
+.fa-circle-dot::before {
+  content: "\f192"; }
+
+.fa-dot-circle::before {
+  content: "\f192"; }
+
+.fa-face-dizzy::before {
+  content: "\f567"; }
+
+.fa-dizzy::before {
+  content: "\f567"; }
+
+.fa-egg::before {
+  content: "\f7fb"; }
+
+.fa-house-medical-circle-xmark::before {
+  content: "\e513"; }
+
+.fa-campground::before {
+  content: "\f6bb"; }
+
+.fa-folder-plus::before {
+  content: "\f65e"; }
+
+.fa-futbol::before {
+  content: "\f1e3"; }
+
+.fa-futbol-ball::before {
+  content: "\f1e3"; }
+
+.fa-soccer-ball::before {
+  content: "\f1e3"; }
+
+.fa-paintbrush::before {
+  content: "\f1fc"; }
+
+.fa-paint-brush::before {
+  content: "\f1fc"; }
+
+.fa-lock::before {
+  content: "\f023"; }
+
+.fa-gas-pump::before {
+  content: "\f52f"; }
+
+.fa-hot-tub-person::before {
+  content: "\f593"; }
+
+.fa-hot-tub::before {
+  content: "\f593"; }
+
+.fa-map-location::before {
+  content: "\f59f"; }
+
+.fa-map-marked::before {
+  content: "\f59f"; }
+
+.fa-house-flood-water::before {
+  content: "\e50e"; }
+
+.fa-tree::before {
+  content: "\f1bb"; }
+
+.fa-bridge-lock::before {
+  content: "\e4cc"; }
+
+.fa-sack-dollar::before {
+  content: "\f81d"; }
+
+.fa-pen-to-square::before {
+  content: "\f044"; }
+
+.fa-edit::before {
+  content: "\f044"; }
+
+.fa-car-side::before {
+  content: "\f5e4"; }
+
+.fa-share-nodes::before {
+  content: "\f1e0"; }
+
+.fa-share-alt::before {
+  content: "\f1e0"; }
+
+.fa-heart-circle-minus::before {
+  content: "\e4ff"; }
+
+.fa-hourglass-half::before {
+  content: "\f252"; }
+
+.fa-hourglass-2::before {
+  content: "\f252"; }
+
+.fa-microscope::before {
+  content: "\f610"; }
+
+.fa-sink::before {
+  content: "\e06d"; }
+
+.fa-bag-shopping::before {
+  content: "\f290"; }
+
+.fa-shopping-bag::before {
+  content: "\f290"; }
+
+.fa-arrow-down-z-a::before {
+  content: "\f881"; }
+
+.fa-sort-alpha-desc::before {
+  content: "\f881"; }
+
+.fa-sort-alpha-down-alt::before {
+  content: "\f881"; }
+
+.fa-mitten::before {
+  content: "\f7b5"; }
+
+.fa-person-rays::before {
+  content: "\e54d"; }
+
+.fa-users::before {
+  content: "\f0c0"; }
+
+.fa-eye-slash::before {
+  content: "\f070"; }
+
+.fa-flask-vial::before {
+  content: "\e4f3"; }
+
+.fa-hand::before {
+  content: "\f256"; }
+
+.fa-hand-paper::before {
+  content: "\f256"; }
+
+.fa-om::before {
+  content: "\f679"; }
+
+.fa-worm::before {
+  content: "\e599"; }
+
+.fa-house-circle-xmark::before {
+  content: "\e50b"; }
+
+.fa-plug::before {
+  content: "\f1e6"; }
+
+.fa-chevron-up::before {
+  content: "\f077"; }
+
+.fa-hand-spock::before {
+  content: "\f259"; }
+
+.fa-stopwatch::before {
+  content: "\f2f2"; }
+
+.fa-face-kiss::before {
+  content: "\f596"; }
+
+.fa-kiss::before {
+  content: "\f596"; }
+
+.fa-bridge-circle-xmark::before {
+  content: "\e4cb"; }
+
+.fa-face-grin-tongue::before {
+  content: "\f589"; }
+
+.fa-grin-tongue::before {
+  content: "\f589"; }
+
+.fa-chess-bishop::before {
+  content: "\f43a"; }
+
+.fa-face-grin-wink::before {
+  content: "\f58c"; }
+
+.fa-grin-wink::before {
+  content: "\f58c"; }
+
+.fa-ear-deaf::before {
+  content: "\f2a4"; }
+
+.fa-deaf::before {
+  content: "\f2a4"; }
+
+.fa-deafness::before {
+  content: "\f2a4"; }
+
+.fa-hard-of-hearing::before {
+  content: "\f2a4"; }
+
+.fa-road-circle-check::before {
+  content: "\e564"; }
+
+.fa-dice-five::before {
+  content: "\f523"; }
+
+.fa-square-rss::before {
+  content: "\f143"; }
+
+.fa-rss-square::before {
+  content: "\f143"; }
+
+.fa-land-mine-on::before {
+  content: "\e51b"; }
+
+.fa-i-cursor::before {
+  content: "\f246"; }
+
+.fa-stamp::before {
+  content: "\f5bf"; }
+
+.fa-stairs::before {
+  content: "\e289"; }
+
+.fa-i::before {
+  content: "\49"; }
+
+.fa-hryvnia-sign::before {
+  content: "\f6f2"; }
+
+.fa-hryvnia::before {
+  content: "\f6f2"; }
+
+.fa-pills::before {
+  content: "\f484"; }
+
+.fa-face-grin-wide::before {
+  content: "\f581"; }
+
+.fa-grin-alt::before {
+  content: "\f581"; }
+
+.fa-tooth::before {
+  content: "\f5c9"; }
+
+.fa-v::before {
+  content: "\56"; }
+
+.fa-bangladeshi-taka-sign::before {
+  content: "\e2e6"; }
+
+.fa-bicycle::before {
+  content: "\f206"; }
+
+.fa-staff-snake::before {
+  content: "\e579"; }
+
+.fa-rod-asclepius::before {
+  content: "\e579"; }
+
+.fa-rod-snake::before {
+  content: "\e579"; }
+
+.fa-staff-aesculapius::before {
+  content: "\e579"; }
+
+.fa-head-side-cough-slash::before {
+  content: "\e062"; }
+
+.fa-truck-medical::before {
+  content: "\f0f9"; }
+
+.fa-ambulance::before {
+  content: "\f0f9"; }
+
+.fa-wheat-awn-circle-exclamation::before {
+  content: "\e598"; }
+
+.fa-snowman::before {
+  content: "\f7d0"; }
+
+.fa-mortar-pestle::before {
+  content: "\f5a7"; }
+
+.fa-road-barrier::before {
+  content: "\e562"; }
+
+.fa-school::before {
+  content: "\f549"; }
+
+.fa-igloo::before {
+  content: "\f7ae"; }
+
+.fa-joint::before {
+  content: "\f595"; }
+
+.fa-angle-right::before {
+  content: "\f105"; }
+
+.fa-horse::before {
+  content: "\f6f0"; }
+
+.fa-q::before {
+  content: "\51"; }
+
+.fa-g::before {
+  content: "\47"; }
+
+.fa-notes-medical::before {
+  content: "\f481"; }
+
+.fa-temperature-half::before {
+  content: "\f2c9"; }
+
+.fa-temperature-2::before {
+  content: "\f2c9"; }
+
+.fa-thermometer-2::before {
+  content: "\f2c9"; }
+
+.fa-thermometer-half::before {
+  content: "\f2c9"; }
+
+.fa-dong-sign::before {
+  content: "\e169"; }
+
+.fa-capsules::before {
+  content: "\f46b"; }
+
+.fa-poo-storm::before {
+  content: "\f75a"; }
+
+.fa-poo-bolt::before {
+  content: "\f75a"; }
+
+.fa-face-frown-open::before {
+  content: "\f57a"; }
+
+.fa-frown-open::before {
+  content: "\f57a"; }
+
+.fa-hand-point-up::before {
+  content: "\f0a6"; }
+
+.fa-money-bill::before {
+  content: "\f0d6"; }
+
+.fa-bookmark::before {
+  content: "\f02e"; }
+
+.fa-align-justify::before {
+  content: "\f039"; }
+
+.fa-umbrella-beach::before {
+  content: "\f5ca"; }
+
+.fa-helmet-un::before {
+  content: "\e503"; }
+
+.fa-bullseye::before {
+  content: "\f140"; }
+
+.fa-bacon::before {
+  content: "\f7e5"; }
+
+.fa-hand-point-down::before {
+  content: "\f0a7"; }
+
+.fa-arrow-up-from-bracket::before {
+  content: "\e09a"; }
+
+.fa-folder::before {
+  content: "\f07b"; }
+
+.fa-folder-blank::before {
+  content: "\f07b"; }
+
+.fa-file-waveform::before {
+  content: "\f478"; }
+
+.fa-file-medical-alt::before {
+  content: "\f478"; }
+
+.fa-radiation::before {
+  content: "\f7b9"; }
+
+.fa-chart-simple::before {
+  content: "\e473"; }
+
+.fa-mars-stroke::before {
+  content: "\f229"; }
+
+.fa-vial::before {
+  content: "\f492"; }
+
+.fa-gauge::before {
+  content: "\f624"; }
+
+.fa-dashboard::before {
+  content: "\f624"; }
+
+.fa-gauge-med::before {
+  content: "\f624"; }
+
+.fa-tachometer-alt-average::before {
+  content: "\f624"; }
+
+.fa-wand-magic-sparkles::before {
+  content: "\e2ca"; }
+
+.fa-magic-wand-sparkles::before {
+  content: "\e2ca"; }
+
+.fa-e::before {
+  content: "\45"; }
+
+.fa-pen-clip::before {
+  content: "\f305"; }
+
+.fa-pen-alt::before {
+  content: "\f305"; }
+
+.fa-bridge-circle-exclamation::before {
+  content: "\e4ca"; }
+
+.fa-user::before {
+  content: "\f007"; }
+
+.fa-school-circle-check::before {
+  content: "\e56b"; }
+
+.fa-dumpster::before {
+  content: "\f793"; }
+
+.fa-van-shuttle::before {
+  content: "\f5b6"; }
+
+.fa-shuttle-van::before {
+  content: "\f5b6"; }
+
+.fa-building-user::before {
+  content: "\e4da"; }
+
+.fa-square-caret-left::before {
+  content: "\f191"; }
+
+.fa-caret-square-left::before {
+  content: "\f191"; }
+
+.fa-highlighter::before {
+  content: "\f591"; }
+
+.fa-key::before {
+  content: "\f084"; }
+
+.fa-bullhorn::before {
+  content: "\f0a1"; }
+
+.fa-globe::before {
+  content: "\f0ac"; }
+
+.fa-synagogue::before {
+  content: "\f69b"; }
+
+.fa-person-half-dress::before {
+  content: "\e548"; }
+
+.fa-road-bridge::before {
+  content: "\e563"; }
+
+.fa-location-arrow::before {
+  content: "\f124"; }
+
+.fa-c::before {
+  content: "\43"; }
+
+.fa-tablet-button::before {
+  content: "\f10a"; }
+
+.fa-building-lock::before {
+  content: "\e4d6"; }
+
+.fa-pizza-slice::before {
+  content: "\f818"; }
+
+.fa-money-bill-wave::before {
+  content: "\f53a"; }
+
+.fa-chart-area::before {
+  content: "\f1fe"; }
+
+.fa-area-chart::before {
+  content: "\f1fe"; }
+
+.fa-house-flag::before {
+  content: "\e50d"; }
+
+.fa-person-circle-minus::before {
+  content: "\e540"; }
+
+.fa-ban::before {
+  content: "\f05e"; }
+
+.fa-cancel::before {
+  content: "\f05e"; }
+
+.fa-camera-rotate::before {
+  content: "\e0d8"; }
+
+.fa-spray-can-sparkles::before {
+  content: "\f5d0"; }
+
+.fa-air-freshener::before {
+  content: "\f5d0"; }
+
+.fa-star::before {
+  content: "\f005"; }
+
+.fa-repeat::before {
+  content: "\f363"; }
+
+.fa-cross::before {
+  content: "\f654"; }
+
+.fa-box::before {
+  content: "\f466"; }
+
+.fa-venus-mars::before {
+  content: "\f228"; }
+
+.fa-arrow-pointer::before {
+  content: "\f245"; }
+
+.fa-mouse-pointer::before {
+  content: "\f245"; }
+
+.fa-maximize::before {
+  content: "\f31e"; }
+
+.fa-expand-arrows-alt::before {
+  content: "\f31e"; }
+
+.fa-charging-station::before {
+  content: "\f5e7"; }
+
+.fa-shapes::before {
+  content: "\f61f"; }
+
+.fa-triangle-circle-square::before {
+  content: "\f61f"; }
+
+.fa-shuffle::before {
+  content: "\f074"; }
+
+.fa-random::before {
+  content: "\f074"; }
+
+.fa-person-running::before {
+  content: "\f70c"; }
+
+.fa-running::before {
+  content: "\f70c"; }
+
+.fa-mobile-retro::before {
+  content: "\e527"; }
+
+.fa-grip-lines-vertical::before {
+  content: "\f7a5"; }
+
+.fa-spider::before {
+  content: "\f717"; }
+
+.fa-hands-bound::before {
+  content: "\e4f9"; }
+
+.fa-file-invoice-dollar::before {
+  content: "\f571"; }
+
+.fa-plane-circle-exclamation::before {
+  content: "\e556"; }
+
+.fa-x-ray::before {
+  content: "\f497"; }
+
+.fa-spell-check::before {
+  content: "\f891"; }
+
+.fa-slash::before {
+  content: "\f715"; }
+
+.fa-computer-mouse::before {
+  content: "\f8cc"; }
+
+.fa-mouse::before {
+  content: "\f8cc"; }
+
+.fa-arrow-right-to-bracket::before {
+  content: "\f090"; }
+
+.fa-sign-in::before {
+  content: "\f090"; }
+
+.fa-shop-slash::before {
+  content: "\e070"; }
+
+.fa-store-alt-slash::before {
+  content: "\e070"; }
+
+.fa-server::before {
+  content: "\f233"; }
+
+.fa-virus-covid-slash::before {
+  content: "\e4a9"; }
+
+.fa-shop-lock::before {
+  content: "\e4a5"; }
+
+.fa-hourglass-start::before {
+  content: "\f251"; }
+
+.fa-hourglass-1::before {
+  content: "\f251"; }
+
+.fa-blender-phone::before {
+  content: "\f6b6"; }
+
+.fa-building-wheat::before {
+  content: "\e4db"; }
+
+.fa-person-breastfeeding::before {
+  content: "\e53a"; }
+
+.fa-right-to-bracket::before {
+  content: "\f2f6"; }
+
+.fa-sign-in-alt::before {
+  content: "\f2f6"; }
+
+.fa-venus::before {
+  content: "\f221"; }
+
+.fa-passport::before {
+  content: "\f5ab"; }
+
+.fa-heart-pulse::before {
+  content: "\f21e"; }
+
+.fa-heartbeat::before {
+  content: "\f21e"; }
+
+.fa-people-carry-box::before {
+  content: "\f4ce"; }
+
+.fa-people-carry::before {
+  content: "\f4ce"; }
+
+.fa-temperature-high::before {
+  content: "\f769"; }
+
+.fa-microchip::before {
+  content: "\f2db"; }
+
+.fa-crown::before {
+  content: "\f521"; }
+
+.fa-weight-hanging::before {
+  content: "\f5cd"; }
+
+.fa-xmarks-lines::before {
+  content: "\e59a"; }
+
+.fa-file-prescription::before {
+  content: "\f572"; }
+
+.fa-weight-scale::before {
+  content: "\f496"; }
+
+.fa-weight::before {
+  content: "\f496"; }
+
+.fa-user-group::before {
+  content: "\f500"; }
+
+.fa-user-friends::before {
+  content: "\f500"; }
+
+.fa-arrow-up-a-z::before {
+  content: "\f15e"; }
+
+.fa-sort-alpha-up::before {
+  content: "\f15e"; }
+
+.fa-chess-knight::before {
+  content: "\f441"; }
+
+.fa-face-laugh-squint::before {
+  content: "\f59b"; }
+
+.fa-laugh-squint::before {
+  content: "\f59b"; }
+
+.fa-wheelchair::before {
+  content: "\f193"; }
+
+.fa-circle-arrow-up::before {
+  content: "\f0aa"; }
+
+.fa-arrow-circle-up::before {
+  content: "\f0aa"; }
+
+.fa-toggle-on::before {
+  content: "\f205"; }
+
+.fa-person-walking::before {
+  content: "\f554"; }
+
+.fa-walking::before {
+  content: "\f554"; }
+
+.fa-l::before {
+  content: "\4c"; }
+
+.fa-fire::before {
+  content: "\f06d"; }
+
+.fa-bed-pulse::before {
+  content: "\f487"; }
+
+.fa-procedures::before {
+  content: "\f487"; }
+
+.fa-shuttle-space::before {
+  content: "\f197"; }
+
+.fa-space-shuttle::before {
+  content: "\f197"; }
+
+.fa-face-laugh::before {
+  content: "\f599"; }
+
+.fa-laugh::before {
+  content: "\f599"; }
+
+.fa-folder-open::before {
+  content: "\f07c"; }
+
+.fa-heart-circle-plus::before {
+  content: "\e500"; }
+
+.fa-code-fork::before {
+  content: "\e13b"; }
+
+.fa-city::before {
+  content: "\f64f"; }
+
+.fa-microphone-lines::before {
+  content: "\f3c9"; }
+
+.fa-microphone-alt::before {
+  content: "\f3c9"; }
+
+.fa-pepper-hot::before {
+  content: "\f816"; }
+
+.fa-unlock::before {
+  content: "\f09c"; }
+
+.fa-colon-sign::before {
+  content: "\e140"; }
+
+.fa-headset::before {
+  content: "\f590"; }
+
+.fa-store-slash::before {
+  content: "\e071"; }
+
+.fa-road-circle-xmark::before {
+  content: "\e566"; }
+
+.fa-user-minus::before {
+  content: "\f503"; }
+
+.fa-mars-stroke-up::before {
+  content: "\f22a"; }
+
+.fa-mars-stroke-v::before {
+  content: "\f22a"; }
+
+.fa-champagne-glasses::before {
+  content: "\f79f"; }
+
+.fa-glass-cheers::before {
+  content: "\f79f"; }
+
+.fa-clipboard::before {
+  content: "\f328"; }
+
+.fa-house-circle-exclamation::before {
+  content: "\e50a"; }
+
+.fa-file-arrow-up::before {
+  content: "\f574"; }
+
+.fa-file-upload::before {
+  content: "\f574"; }
+
+.fa-wifi::before {
+  content: "\f1eb"; }
+
+.fa-wifi-3::before {
+  content: "\f1eb"; }
+
+.fa-wifi-strong::before {
+  content: "\f1eb"; }
+
+.fa-bath::before {
+  content: "\f2cd"; }
+
+.fa-bathtub::before {
+  content: "\f2cd"; }
+
+.fa-underline::before {
+  content: "\f0cd"; }
+
+.fa-user-pen::before {
+  content: "\f4ff"; }
+
+.fa-user-edit::before {
+  content: "\f4ff"; }
+
+.fa-signature::before {
+  content: "\f5b7"; }
+
+.fa-stroopwafel::before {
+  content: "\f551"; }
+
+.fa-bold::before {
+  content: "\f032"; }
+
+.fa-anchor-lock::before {
+  content: "\e4ad"; }
+
+.fa-building-ngo::before {
+  content: "\e4d7"; }
+
+.fa-manat-sign::before {
+  content: "\e1d5"; }
+
+.fa-not-equal::before {
+  content: "\f53e"; }
+
+.fa-border-top-left::before {
+  content: "\f853"; }
+
+.fa-border-style::before {
+  content: "\f853"; }
+
+.fa-map-location-dot::before {
+  content: "\f5a0"; }
+
+.fa-map-marked-alt::before {
+  content: "\f5a0"; }
+
+.fa-jedi::before {
+  content: "\f669"; }
+
+.fa-square-poll-vertical::before {
+  content: "\f681"; }
+
+.fa-poll::before {
+  content: "\f681"; }
+
+.fa-mug-hot::before {
+  content: "\f7b6"; }
+
+.fa-car-battery::before {
+  content: "\f5df"; }
+
+.fa-battery-car::before {
+  content: "\f5df"; }
+
+.fa-gift::before {
+  content: "\f06b"; }
+
+.fa-dice-two::before {
+  content: "\f528"; }
+
+.fa-chess-queen::before {
+  content: "\f445"; }
+
+.fa-glasses::before {
+  content: "\f530"; }
+
+.fa-chess-board::before {
+  content: "\f43c"; }
+
+.fa-building-circle-check::before {
+  content: "\e4d2"; }
+
+.fa-person-chalkboard::before {
+  content: "\e53d"; }
+
+.fa-mars-stroke-right::before {
+  content: "\f22b"; }
+
+.fa-mars-stroke-h::before {
+  content: "\f22b"; }
+
+.fa-hand-back-fist::before {
+  content: "\f255"; }
+
+.fa-hand-rock::before {
+  content: "\f255"; }
+
+.fa-square-caret-up::before {
+  content: "\f151"; }
+
+.fa-caret-square-up::before {
+  content: "\f151"; }
+
+.fa-cloud-showers-water::before {
+  content: "\e4e4"; }
+
+.fa-chart-bar::before {
+  content: "\f080"; }
+
+.fa-bar-chart::before {
+  content: "\f080"; }
+
+.fa-hands-bubbles::before {
+  content: "\e05e"; }
+
+.fa-hands-wash::before {
+  content: "\e05e"; }
+
+.fa-less-than-equal::before {
+  content: "\f537"; }
+
+.fa-train::before {
+  content: "\f238"; }
+
+.fa-eye-low-vision::before {
+  content: "\f2a8"; }
+
+.fa-low-vision::before {
+  content: "\f2a8"; }
+
+.fa-crow::before {
+  content: "\f520"; }
+
+.fa-sailboat::before {
+  content: "\e445"; }
+
+.fa-window-restore::before {
+  content: "\f2d2"; }
+
+.fa-square-plus::before {
+  content: "\f0fe"; }
+
+.fa-plus-square::before {
+  content: "\f0fe"; }
+
+.fa-torii-gate::before {
+  content: "\f6a1"; }
+
+.fa-frog::before {
+  content: "\f52e"; }
+
+.fa-bucket::before {
+  content: "\e4cf"; }
+
+.fa-image::before {
+  content: "\f03e"; }
+
+.fa-microphone::before {
+  content: "\f130"; }
+
+.fa-cow::before {
+  content: "\f6c8"; }
+
+.fa-caret-up::before {
+  content: "\f0d8"; }
+
+.fa-screwdriver::before {
+  content: "\f54a"; }
+
+.fa-folder-closed::before {
+  content: "\e185"; }
+
+.fa-house-tsunami::before {
+  content: "\e515"; }
+
+.fa-square-nfi::before {
+  content: "\e576"; }
+
+.fa-arrow-up-from-ground-water::before {
+  content: "\e4b5"; }
+
+.fa-martini-glass::before {
+  content: "\f57b"; }
+
+.fa-glass-martini-alt::before {
+  content: "\f57b"; }
+
+.fa-rotate-left::before {
+  content: "\f2ea"; }
+
+.fa-rotate-back::before {
+  content: "\f2ea"; }
+
+.fa-rotate-backward::before {
+  content: "\f2ea"; }
+
+.fa-undo-alt::before {
+  content: "\f2ea"; }
+
+.fa-table-columns::before {
+  content: "\f0db"; }
+
+.fa-columns::before {
+  content: "\f0db"; }
+
+.fa-lemon::before {
+  content: "\f094"; }
+
+.fa-head-side-mask::before {
+  content: "\e063"; }
+
+.fa-handshake::before {
+  content: "\f2b5"; }
+
+.fa-gem::before {
+  content: "\f3a5"; }
+
+.fa-dolly::before {
+  content: "\f472"; }
+
+.fa-dolly-box::before {
+  content: "\f472"; }
+
+.fa-smoking::before {
+  content: "\f48d"; }
+
+.fa-minimize::before {
+  content: "\f78c"; }
+
+.fa-compress-arrows-alt::before {
+  content: "\f78c"; }
+
+.fa-monument::before {
+  content: "\f5a6"; }
+
+.fa-snowplow::before {
+  content: "\f7d2"; }
+
+.fa-angles-right::before {
+  content: "\f101"; }
+
+.fa-angle-double-right::before {
+  content: "\f101"; }
+
+.fa-cannabis::before {
+  content: "\f55f"; }
+
+.fa-circle-play::before {
+  content: "\f144"; }
+
+.fa-play-circle::before {
+  content: "\f144"; }
+
+.fa-tablets::before {
+  content: "\f490"; }
+
+.fa-ethernet::before {
+  content: "\f796"; }
+
+.fa-euro-sign::before {
+  content: "\f153"; }
+
+.fa-eur::before {
+  content: "\f153"; }
+
+.fa-euro::before {
+  content: "\f153"; }
+
+.fa-chair::before {
+  content: "\f6c0"; }
+
+.fa-circle-check::before {
+  content: "\f058"; }
+
+.fa-check-circle::before {
+  content: "\f058"; }
+
+.fa-circle-stop::before {
+  content: "\f28d"; }
+
+.fa-stop-circle::before {
+  content: "\f28d"; }
+
+.fa-compass-drafting::before {
+  content: "\f568"; }
+
+.fa-drafting-compass::before {
+  content: "\f568"; }
+
+.fa-plate-wheat::before {
+  content: "\e55a"; }
+
+.fa-icicles::before {
+  content: "\f7ad"; }
+
+.fa-person-shelter::before {
+  content: "\e54f"; }
+
+.fa-neuter::before {
+  content: "\f22c"; }
+
+.fa-id-badge::before {
+  content: "\f2c1"; }
+
+.fa-marker::before {
+  content: "\f5a1"; }
+
+.fa-face-laugh-beam::before {
+  content: "\f59a"; }
+
+.fa-laugh-beam::before {
+  content: "\f59a"; }
+
+.fa-helicopter-symbol::before {
+  content: "\e502"; }
+
+.fa-universal-access::before {
+  content: "\f29a"; }
+
+.fa-circle-chevron-up::before {
+  content: "\f139"; }
+
+.fa-chevron-circle-up::before {
+  content: "\f139"; }
+
+.fa-lari-sign::before {
+  content: "\e1c8"; }
+
+.fa-volcano::before {
+  content: "\f770"; }
+
+.fa-person-walking-dashed-line-arrow-right::before {
+  content: "\e553"; }
+
+.fa-sterling-sign::before {
+  content: "\f154"; }
+
+.fa-gbp::before {
+  content: "\f154"; }
+
+.fa-pound-sign::before {
+  content: "\f154"; }
+
+.fa-viruses::before {
+  content: "\e076"; }
+
+.fa-square-person-confined::before {
+  content: "\e577"; }
+
+.fa-user-tie::before {
+  content: "\f508"; }
+
+.fa-arrow-down-long::before {
+  content: "\f175"; }
+
+.fa-long-arrow-down::before {
+  content: "\f175"; }
+
+.fa-tent-arrow-down-to-line::before {
+  content: "\e57e"; }
+
+.fa-certificate::before {
+  content: "\f0a3"; }
+
+.fa-reply-all::before {
+  content: "\f122"; }
+
+.fa-mail-reply-all::before {
+  content: "\f122"; }
+
+.fa-suitcase::before {
+  content: "\f0f2"; }
+
+.fa-person-skating::before {
+  content: "\f7c5"; }
+
+.fa-skating::before {
+  content: "\f7c5"; }
+
+.fa-filter-circle-dollar::before {
+  content: "\f662"; }
+
+.fa-funnel-dollar::before {
+  content: "\f662"; }
+
+.fa-camera-retro::before {
+  content: "\f083"; }
+
+.fa-circle-arrow-down::before {
+  content: "\f0ab"; }
+
+.fa-arrow-circle-down::before {
+  content: "\f0ab"; }
+
+.fa-file-import::before {
+  content: "\f56f"; }
+
+.fa-arrow-right-to-file::before {
+  content: "\f56f"; }
+
+.fa-square-arrow-up-right::before {
+  content: "\f14c"; }
+
+.fa-external-link-square::before {
+  content: "\f14c"; }
+
+.fa-box-open::before {
+  content: "\f49e"; }
+
+.fa-scroll::before {
+  content: "\f70e"; }
+
+.fa-spa::before {
+  content: "\f5bb"; }
+
+.fa-location-pin-lock::before {
+  content: "\e51f"; }
+
+.fa-pause::before {
+  content: "\f04c"; }
+
+.fa-hill-avalanche::before {
+  content: "\e507"; }
+
+.fa-temperature-empty::before {
+  content: "\f2cb"; }
+
+.fa-temperature-0::before {
+  content: "\f2cb"; }
+
+.fa-thermometer-0::before {
+  content: "\f2cb"; }
+
+.fa-thermometer-empty::before {
+  content: "\f2cb"; }
+
+.fa-bomb::before {
+  content: "\f1e2"; }
+
+.fa-registered::before {
+  content: "\f25d"; }
+
+.fa-address-card::before {
+  content: "\f2bb"; }
+
+.fa-contact-card::before {
+  content: "\f2bb"; }
+
+.fa-vcard::before {
+  content: "\f2bb"; }
+
+.fa-scale-unbalanced-flip::before {
+  content: "\f516"; }
+
+.fa-balance-scale-right::before {
+  content: "\f516"; }
+
+.fa-subscript::before {
+  content: "\f12c"; }
+
+.fa-diamond-turn-right::before {
+  content: "\f5eb"; }
+
+.fa-directions::before {
+  content: "\f5eb"; }
+
+.fa-burst::before {
+  content: "\e4dc"; }
+
+.fa-house-laptop::before {
+  content: "\e066"; }
+
+.fa-laptop-house::before {
+  content: "\e066"; }
+
+.fa-face-tired::before {
+  content: "\f5c8"; }
+
+.fa-tired::before {
+  content: "\f5c8"; }
+
+.fa-money-bills::before {
+  content: "\e1f3"; }
+
+.fa-smog::before {
+  content: "\f75f"; }
+
+.fa-crutch::before {
+  content: "\f7f7"; }
+
+.fa-cloud-arrow-up::before {
+  content: "\f0ee"; }
+
+.fa-cloud-upload::before {
+  content: "\f0ee"; }
+
+.fa-cloud-upload-alt::before {
+  content: "\f0ee"; }
+
+.fa-palette::before {
+  content: "\f53f"; }
+
+.fa-arrows-turn-right::before {
+  content: "\e4c0"; }
+
+.fa-vest::before {
+  content: "\e085"; }
+
+.fa-ferry::before {
+  content: "\e4ea"; }
+
+.fa-arrows-down-to-people::before {
+  content: "\e4b9"; }
+
+.fa-seedling::before {
+  content: "\f4d8"; }
+
+.fa-sprout::before {
+  content: "\f4d8"; }
+
+.fa-left-right::before {
+  content: "\f337"; }
+
+.fa-arrows-alt-h::before {
+  content: "\f337"; }
+
+.fa-boxes-packing::before {
+  content: "\e4c7"; }
+
+.fa-circle-arrow-left::before {
+  content: "\f0a8"; }
+
+.fa-arrow-circle-left::before {
+  content: "\f0a8"; }
+
+.fa-group-arrows-rotate::before {
+  content: "\e4f6"; }
+
+.fa-bowl-food::before {
+  content: "\e4c6"; }
+
+.fa-candy-cane::before {
+  content: "\f786"; }
+
+.fa-arrow-down-wide-short::before {
+  content: "\f160"; }
+
+.fa-sort-amount-asc::before {
+  content: "\f160"; }
+
+.fa-sort-amount-down::before {
+  content: "\f160"; }
+
+.fa-cloud-bolt::before {
+  content: "\f76c"; }
+
+.fa-thunderstorm::before {
+  content: "\f76c"; }
+
+.fa-text-slash::before {
+  content: "\f87d"; }
+
+.fa-remove-format::before {
+  content: "\f87d"; }
+
+.fa-face-smile-wink::before {
+  content: "\f4da"; }
+
+.fa-smile-wink::before {
+  content: "\f4da"; }
+
+.fa-file-word::before {
+  content: "\f1c2"; }
+
+.fa-file-powerpoint::before {
+  content: "\f1c4"; }
+
+.fa-arrows-left-right::before {
+  content: "\f07e"; }
+
+.fa-arrows-h::before {
+  content: "\f07e"; }
+
+.fa-house-lock::before {
+  content: "\e510"; }
+
+.fa-cloud-arrow-down::before {
+  content: "\f0ed"; }
+
+.fa-cloud-download::before {
+  content: "\f0ed"; }
+
+.fa-cloud-download-alt::before {
+  content: "\f0ed"; }
+
+.fa-children::before {
+  content: "\e4e1"; }
+
+.fa-chalkboard::before {
+  content: "\f51b"; }
+
+.fa-blackboard::before {
+  content: "\f51b"; }
+
+.fa-user-large-slash::before {
+  content: "\f4fa"; }
+
+.fa-user-alt-slash::before {
+  content: "\f4fa"; }
+
+.fa-envelope-open::before {
+  content: "\f2b6"; }
+
+.fa-handshake-simple-slash::before {
+  content: "\e05f"; }
+
+.fa-handshake-alt-slash::before {
+  content: "\e05f"; }
+
+.fa-mattress-pillow::before {
+  content: "\e525"; }
+
+.fa-guarani-sign::before {
+  content: "\e19a"; }
+
+.fa-arrows-rotate::before {
+  content: "\f021"; }
+
+.fa-refresh::before {
+  content: "\f021"; }
+
+.fa-sync::before {
+  content: "\f021"; }
+
+.fa-fire-extinguisher::before {
+  content: "\f134"; }
+
+.fa-cruzeiro-sign::before {
+  content: "\e152"; }
+
+.fa-greater-than-equal::before {
+  content: "\f532"; }
+
+.fa-shield-halved::before {
+  content: "\f3ed"; }
+
+.fa-shield-alt::before {
+  content: "\f3ed"; }
+
+.fa-book-atlas::before {
+  content: "\f558"; }
+
+.fa-atlas::before {
+  content: "\f558"; }
+
+.fa-virus::before {
+  content: "\e074"; }
+
+.fa-envelope-circle-check::before {
+  content: "\e4e8"; }
+
+.fa-layer-group::before {
+  content: "\f5fd"; }
+
+.fa-arrows-to-dot::before {
+  content: "\e4be"; }
+
+.fa-archway::before {
+  content: "\f557"; }
+
+.fa-heart-circle-check::before {
+  content: "\e4fd"; }
+
+.fa-house-chimney-crack::before {
+  content: "\f6f1"; }
+
+.fa-house-damage::before {
+  content: "\f6f1"; }
+
+.fa-file-zipper::before {
+  content: "\f1c6"; }
+
+.fa-file-archive::before {
+  content: "\f1c6"; }
+
+.fa-square::before {
+  content: "\f0c8"; }
+
+.fa-martini-glass-empty::before {
+  content: "\f000"; }
+
+.fa-glass-martini::before {
+  content: "\f000"; }
+
+.fa-couch::before {
+  content: "\f4b8"; }
+
+.fa-cedi-sign::before {
+  content: "\e0df"; }
+
+.fa-italic::before {
+  content: "\f033"; }
+
+.fa-church::before {
+  content: "\f51d"; }
+
+.fa-comments-dollar::before {
+  content: "\f653"; }
+
+.fa-democrat::before {
+  content: "\f747"; }
+
+.fa-z::before {
+  content: "\5a"; }
+
+.fa-person-skiing::before {
+  content: "\f7c9"; }
+
+.fa-skiing::before {
+  content: "\f7c9"; }
+
+.fa-road-lock::before {
+  content: "\e567"; }
+
+.fa-a::before {
+  content: "\41"; }
+
+.fa-temperature-arrow-down::before {
+  content: "\e03f"; }
+
+.fa-temperature-down::before {
+  content: "\e03f"; }
+
+.fa-feather-pointed::before {
+  content: "\f56b"; }
+
+.fa-feather-alt::before {
+  content: "\f56b"; }
+
+.fa-p::before {
+  content: "\50"; }
+
+.fa-snowflake::before {
+  content: "\f2dc"; }
+
+.fa-newspaper::before {
+  content: "\f1ea"; }
+
+.fa-rectangle-ad::before {
+  content: "\f641"; }
+
+.fa-ad::before {
+  content: "\f641"; }
+
+.fa-circle-arrow-right::before {
+  content: "\f0a9"; }
+
+.fa-arrow-circle-right::before {
+  content: "\f0a9"; }
+
+.fa-filter-circle-xmark::before {
+  content: "\e17b"; }
+
+.fa-locust::before {
+  content: "\e520"; }
+
+.fa-sort::before {
+  content: "\f0dc"; }
+
+.fa-unsorted::before {
+  content: "\f0dc"; }
+
+.fa-list-ol::before {
+  content: "\f0cb"; }
+
+.fa-list-1-2::before {
+  content: "\f0cb"; }
+
+.fa-list-numeric::before {
+  content: "\f0cb"; }
+
+.fa-person-dress-burst::before {
+  content: "\e544"; }
+
+.fa-money-check-dollar::before {
+  content: "\f53d"; }
+
+.fa-money-check-alt::before {
+  content: "\f53d"; }
+
+.fa-vector-square::before {
+  content: "\f5cb"; }
+
+.fa-bread-slice::before {
+  content: "\f7ec"; }
+
+.fa-language::before {
+  content: "\f1ab"; }
+
+.fa-face-kiss-wink-heart::before {
+  content: "\f598"; }
+
+.fa-kiss-wink-heart::before {
+  content: "\f598"; }
+
+.fa-filter::before {
+  content: "\f0b0"; }
+
+.fa-question::before {
+  content: "\3f"; }
+
+.fa-file-signature::before {
+  content: "\f573"; }
+
+.fa-up-down-left-right::before {
+  content: "\f0b2"; }
+
+.fa-arrows-alt::before {
+  content: "\f0b2"; }
+
+.fa-house-chimney-user::before {
+  content: "\e065"; }
+
+.fa-hand-holding-heart::before {
+  content: "\f4be"; }
+
+.fa-puzzle-piece::before {
+  content: "\f12e"; }
+
+.fa-money-check::before {
+  content: "\f53c"; }
+
+.fa-star-half-stroke::before {
+  content: "\f5c0"; }
+
+.fa-star-half-alt::before {
+  content: "\f5c0"; }
+
+.fa-code::before {
+  content: "\f121"; }
+
+.fa-whiskey-glass::before {
+  content: "\f7a0"; }
+
+.fa-glass-whiskey::before {
+  content: "\f7a0"; }
+
+.fa-building-circle-exclamation::before {
+  content: "\e4d3"; }
+
+.fa-magnifying-glass-chart::before {
+  content: "\e522"; }
+
+.fa-arrow-up-right-from-square::before {
+  content: "\f08e"; }
+
+.fa-external-link::before {
+  content: "\f08e"; }
+
+.fa-cubes-stacked::before {
+  content: "\e4e6"; }
+
+.fa-won-sign::before {
+  content: "\f159"; }
+
+.fa-krw::before {
+  content: "\f159"; }
+
+.fa-won::before {
+  content: "\f159"; }
+
+.fa-virus-covid::before {
+  content: "\e4a8"; }
+
+.fa-austral-sign::before {
+  content: "\e0a9"; }
+
+.fa-f::before {
+  content: "\46"; }
+
+.fa-leaf::before {
+  content: "\f06c"; }
+
+.fa-road::before {
+  content: "\f018"; }
+
+.fa-taxi::before {
+  content: "\f1ba"; }
+
+.fa-cab::before {
+  content: "\f1ba"; }
+
+.fa-person-circle-plus::before {
+  content: "\e541"; }
+
+.fa-chart-pie::before {
+  content: "\f200"; }
+
+.fa-pie-chart::before {
+  content: "\f200"; }
+
+.fa-bolt-lightning::before {
+  content: "\e0b7"; }
+
+.fa-sack-xmark::before {
+  content: "\e56a"; }
+
+.fa-file-excel::before {
+  content: "\f1c3"; }
+
+.fa-file-contract::before {
+  content: "\f56c"; }
+
+.fa-fish-fins::before {
+  content: "\e4f2"; }
+
+.fa-building-flag::before {
+  content: "\e4d5"; }
+
+.fa-face-grin-beam::before {
+  content: "\f582"; }
+
+.fa-grin-beam::before {
+  content: "\f582"; }
+
+.fa-object-ungroup::before {
+  content: "\f248"; }
+
+.fa-poop::before {
+  content: "\f619"; }
+
+.fa-location-pin::before {
+  content: "\f041"; }
+
+.fa-map-marker::before {
+  content: "\f041"; }
+
+.fa-kaaba::before {
+  content: "\f66b"; }
+
+.fa-toilet-paper::before {
+  content: "\f71e"; }
+
+.fa-helmet-safety::before {
+  content: "\f807"; }
+
+.fa-hard-hat::before {
+  content: "\f807"; }
+
+.fa-hat-hard::before {
+  content: "\f807"; }
+
+.fa-eject::before {
+  content: "\f052"; }
+
+.fa-circle-right::before {
+  content: "\f35a"; }
+
+.fa-arrow-alt-circle-right::before {
+  content: "\f35a"; }
+
+.fa-plane-circle-check::before {
+  content: "\e555"; }
+
+.fa-face-rolling-eyes::before {
+  content: "\f5a5"; }
+
+.fa-meh-rolling-eyes::before {
+  content: "\f5a5"; }
+
+.fa-object-group::before {
+  content: "\f247"; }
+
+.fa-chart-line::before {
+  content: "\f201"; }
+
+.fa-line-chart::before {
+  content: "\f201"; }
+
+.fa-mask-ventilator::before {
+  content: "\e524"; }
+
+.fa-arrow-right::before {
+  content: "\f061"; }
+
+.fa-signs-post::before {
+  content: "\f277"; }
+
+.fa-map-signs::before {
+  content: "\f277"; }
+
+.fa-cash-register::before {
+  content: "\f788"; }
+
+.fa-person-circle-question::before {
+  content: "\e542"; }
+
+.fa-h::before {
+  content: "\48"; }
+
+.fa-tarp::before {
+  content: "\e57b"; }
+
+.fa-screwdriver-wrench::before {
+  content: "\f7d9"; }
+
+.fa-tools::before {
+  content: "\f7d9"; }
+
+.fa-arrows-to-eye::before {
+  content: "\e4bf"; }
+
+.fa-plug-circle-bolt::before {
+  content: "\e55b"; }
+
+.fa-heart::before {
+  content: "\f004"; }
+
+.fa-mars-and-venus::before {
+  content: "\f224"; }
+
+.fa-house-user::before {
+  content: "\e1b0"; }
+
+.fa-home-user::before {
+  content: "\e1b0"; }
+
+.fa-dumpster-fire::before {
+  content: "\f794"; }
+
+.fa-house-crack::before {
+  content: "\e3b1"; }
+
+.fa-martini-glass-citrus::before {
+  content: "\f561"; }
+
+.fa-cocktail::before {
+  content: "\f561"; }
+
+.fa-face-surprise::before {
+  content: "\f5c2"; }
+
+.fa-surprise::before {
+  content: "\f5c2"; }
+
+.fa-bottle-water::before {
+  content: "\e4c5"; }
+
+.fa-circle-pause::before {
+  content: "\f28b"; }
+
+.fa-pause-circle::before {
+  content: "\f28b"; }
+
+.fa-toilet-paper-slash::before {
+  content: "\e072"; }
+
+.fa-apple-whole::before {
+  content: "\f5d1"; }
+
+.fa-apple-alt::before {
+  content: "\f5d1"; }
+
+.fa-kitchen-set::before {
+  content: "\e51a"; }
+
+.fa-r::before {
+  content: "\52"; }
+
+.fa-temperature-quarter::before {
+  content: "\f2ca"; }
+
+.fa-temperature-1::before {
+  content: "\f2ca"; }
+
+.fa-thermometer-1::before {
+  content: "\f2ca"; }
+
+.fa-thermometer-quarter::before {
+  content: "\f2ca"; }
+
+.fa-cube::before {
+  content: "\f1b2"; }
+
+.fa-bitcoin-sign::before {
+  content: "\e0b4"; }
+
+.fa-shield-dog::before {
+  content: "\e573"; }
+
+.fa-solar-panel::before {
+  content: "\f5ba"; }
+
+.fa-lock-open::before {
+  content: "\f3c1"; }
+
+.fa-elevator::before {
+  content: "\e16d"; }
+
+.fa-money-bill-transfer::before {
+  content: "\e528"; }
+
+.fa-money-bill-trend-up::before {
+  content: "\e529"; }
+
+.fa-house-flood-water-circle-arrow-right::before {
+  content: "\e50f"; }
+
+.fa-square-poll-horizontal::before {
+  content: "\f682"; }
+
+.fa-poll-h::before {
+  content: "\f682"; }
+
+.fa-circle::before {
+  content: "\f111"; }
+
+.fa-backward-fast::before {
+  content: "\f049"; }
+
+.fa-fast-backward::before {
+  content: "\f049"; }
+
+.fa-recycle::before {
+  content: "\f1b8"; }
+
+.fa-user-astronaut::before {
+  content: "\f4fb"; }
+
+.fa-plane-slash::before {
+  content: "\e069"; }
+
+.fa-trademark::before {
+  content: "\f25c"; }
+
+.fa-basketball::before {
+  content: "\f434"; }
+
+.fa-basketball-ball::before {
+  content: "\f434"; }
+
+.fa-satellite-dish::before {
+  content: "\f7c0"; }
+
+.fa-circle-up::before {
+  content: "\f35b"; }
+
+.fa-arrow-alt-circle-up::before {
+  content: "\f35b"; }
+
+.fa-mobile-screen-button::before {
+  content: "\f3cd"; }
+
+.fa-mobile-alt::before {
+  content: "\f3cd"; }
+
+.fa-volume-high::before {
+  content: "\f028"; }
+
+.fa-volume-up::before {
+  content: "\f028"; }
+
+.fa-users-rays::before {
+  content: "\e593"; }
+
+.fa-wallet::before {
+  content: "\f555"; }
+
+.fa-clipboard-check::before {
+  content: "\f46c"; }
+
+.fa-file-audio::before {
+  content: "\f1c7"; }
+
+.fa-burger::before {
+  content: "\f805"; }
+
+.fa-hamburger::before {
+  content: "\f805"; }
+
+.fa-wrench::before {
+  content: "\f0ad"; }
+
+.fa-bugs::before {
+  content: "\e4d0"; }
+
+.fa-rupee-sign::before {
+  content: "\f156"; }
+
+.fa-rupee::before {
+  content: "\f156"; }
+
+.fa-file-image::before {
+  content: "\f1c5"; }
+
+.fa-circle-question::before {
+  content: "\f059"; }
+
+.fa-question-circle::before {
+  content: "\f059"; }
+
+.fa-plane-departure::before {
+  content: "\f5b0"; }
+
+.fa-handshake-slash::before {
+  content: "\e060"; }
+
+.fa-book-bookmark::before {
+  content: "\e0bb"; }
+
+.fa-code-branch::before {
+  content: "\f126"; }
+
+.fa-hat-cowboy::before {
+  content: "\f8c0"; }
+
+.fa-bridge::before {
+  content: "\e4c8"; }
+
+.fa-phone-flip::before {
+  content: "\f879"; }
+
+.fa-phone-alt::before {
+  content: "\f879"; }
+
+.fa-truck-front::before {
+  content: "\e2b7"; }
+
+.fa-cat::before {
+  content: "\f6be"; }
+
+.fa-anchor-circle-exclamation::before {
+  content: "\e4ab"; }
+
+.fa-truck-field::before {
+  content: "\e58d"; }
+
+.fa-route::before {
+  content: "\f4d7"; }
+
+.fa-clipboard-question::before {
+  content: "\e4e3"; }
+
+.fa-panorama::before {
+  content: "\e209"; }
+
+.fa-comment-medical::before {
+  content: "\f7f5"; }
+
+.fa-teeth-open::before {
+  content: "\f62f"; }
+
+.fa-file-circle-minus::before {
+  content: "\e4ed"; }
+
+.fa-tags::before {
+  content: "\f02c"; }
+
+.fa-wine-glass::before {
+  content: "\f4e3"; }
+
+.fa-forward-fast::before {
+  content: "\f050"; }
+
+.fa-fast-forward::before {
+  content: "\f050"; }
+
+.fa-face-meh-blank::before {
+  content: "\f5a4"; }
+
+.fa-meh-blank::before {
+  content: "\f5a4"; }
+
+.fa-square-parking::before {
+  content: "\f540"; }
+
+.fa-parking::before {
+  content: "\f540"; }
+
+.fa-house-signal::before {
+  content: "\e012"; }
+
+.fa-bars-progress::before {
+  content: "\f828"; }
+
+.fa-tasks-alt::before {
+  content: "\f828"; }
+
+.fa-faucet-drip::before {
+  content: "\e006"; }
+
+.fa-cart-flatbed::before {
+  content: "\f474"; }
+
+.fa-dolly-flatbed::before {
+  content: "\f474"; }
+
+.fa-ban-smoking::before {
+  content: "\f54d"; }
+
+.fa-smoking-ban::before {
+  content: "\f54d"; }
+
+.fa-terminal::before {
+  content: "\f120"; }
+
+.fa-mobile-button::before {
+  content: "\f10b"; }
+
+.fa-house-medical-flag::before {
+  content: "\e514"; }
+
+.fa-basket-shopping::before {
+  content: "\f291"; }
+
+.fa-shopping-basket::before {
+  content: "\f291"; }
+
+.fa-tape::before {
+  content: "\f4db"; }
+
+.fa-bus-simple::before {
+  content: "\f55e"; }
+
+.fa-bus-alt::before {
+  content: "\f55e"; }
+
+.fa-eye::before {
+  content: "\f06e"; }
+
+.fa-face-sad-cry::before {
+  content: "\f5b3"; }
+
+.fa-sad-cry::before {
+  content: "\f5b3"; }
+
+.fa-audio-description::before {
+  content: "\f29e"; }
+
+.fa-person-military-to-person::before {
+  content: "\e54c"; }
+
+.fa-file-shield::before {
+  content: "\e4f0"; }
+
+.fa-user-slash::before {
+  content: "\f506"; }
+
+.fa-pen::before {
+  content: "\f304"; }
+
+.fa-tower-observation::before {
+  content: "\e586"; }
+
+.fa-file-code::before {
+  content: "\f1c9"; }
+
+.fa-signal::before {
+  content: "\f012"; }
+
+.fa-signal-5::before {
+  content: "\f012"; }
+
+.fa-signal-perfect::before {
+  content: "\f012"; }
+
+.fa-bus::before {
+  content: "\f207"; }
+
+.fa-heart-circle-xmark::before {
+  content: "\e501"; }
+
+.fa-house-chimney::before {
+  content: "\e3af"; }
+
+.fa-home-lg::before {
+  content: "\e3af"; }
+
+.fa-window-maximize::before {
+  content: "\f2d0"; }
+
+.fa-face-frown::before {
+  content: "\f119"; }
+
+.fa-frown::before {
+  content: "\f119"; }
+
+.fa-prescription::before {
+  content: "\f5b1"; }
+
+.fa-shop::before {
+  content: "\f54f"; }
+
+.fa-store-alt::before {
+  content: "\f54f"; }
+
+.fa-floppy-disk::before {
+  content: "\f0c7"; }
+
+.fa-save::before {
+  content: "\f0c7"; }
+
+.fa-vihara::before {
+  content: "\f6a7"; }
+
+.fa-scale-unbalanced::before {
+  content: "\f515"; }
+
+.fa-balance-scale-left::before {
+  content: "\f515"; }
+
+.fa-sort-up::before {
+  content: "\f0de"; }
+
+.fa-sort-asc::before {
+  content: "\f0de"; }
+
+.fa-comment-dots::before {
+  content: "\f4ad"; }
+
+.fa-commenting::before {
+  content: "\f4ad"; }
+
+.fa-plant-wilt::before {
+  content: "\e5aa"; }
+
+.fa-diamond::before {
+  content: "\f219"; }
+
+.fa-face-grin-squint::before {
+  content: "\f585"; }
+
+.fa-grin-squint::before {
+  content: "\f585"; }
+
+.fa-hand-holding-dollar::before {
+  content: "\f4c0"; }
+
+.fa-hand-holding-usd::before {
+  content: "\f4c0"; }
+
+.fa-bacterium::before {
+  content: "\e05a"; }
+
+.fa-hand-pointer::before {
+  content: "\f25a"; }
+
+.fa-drum-steelpan::before {
+  content: "\f56a"; }
+
+.fa-hand-scissors::before {
+  content: "\f257"; }
+
+.fa-hands-praying::before {
+  content: "\f684"; }
+
+.fa-praying-hands::before {
+  content: "\f684"; }
+
+.fa-arrow-rotate-right::before {
+  content: "\f01e"; }
+
+.fa-arrow-right-rotate::before {
+  content: "\f01e"; }
+
+.fa-arrow-rotate-forward::before {
+  content: "\f01e"; }
+
+.fa-redo::before {
+  content: "\f01e"; }
+
+.fa-biohazard::before {
+  content: "\f780"; }
+
+.fa-location-crosshairs::before {
+  content: "\f601"; }
+
+.fa-location::before {
+  content: "\f601"; }
+
+.fa-mars-double::before {
+  content: "\f227"; }
+
+.fa-child-dress::before {
+  content: "\e59c"; }
+
+.fa-users-between-lines::before {
+  content: "\e591"; }
+
+.fa-lungs-virus::before {
+  content: "\e067"; }
+
+.fa-face-grin-tears::before {
+  content: "\f588"; }
+
+.fa-grin-tears::before {
+  content: "\f588"; }
+
+.fa-phone::before {
+  content: "\f095"; }
+
+.fa-calendar-xmark::before {
+  content: "\f273"; }
+
+.fa-calendar-times::before {
+  content: "\f273"; }
+
+.fa-child-reaching::before {
+  content: "\e59d"; }
+
+.fa-head-side-virus::before {
+  content: "\e064"; }
+
+.fa-user-gear::before {
+  content: "\f4fe"; }
+
+.fa-user-cog::before {
+  content: "\f4fe"; }
+
+.fa-arrow-up-1-9::before {
+  content: "\f163"; }
+
+.fa-sort-numeric-up::before {
+  content: "\f163"; }
+
+.fa-door-closed::before {
+  content: "\f52a"; }
+
+.fa-shield-virus::before {
+  content: "\e06c"; }
+
+.fa-dice-six::before {
+  content: "\f526"; }
+
+.fa-mosquito-net::before {
+  content: "\e52c"; }
+
+.fa-bridge-water::before {
+  content: "\e4ce"; }
+
+.fa-person-booth::before {
+  content: "\f756"; }
+
+.fa-text-width::before {
+  content: "\f035"; }
+
+.fa-hat-wizard::before {
+  content: "\f6e8"; }
+
+.fa-pen-fancy::before {
+  content: "\f5ac"; }
+
+.fa-person-digging::before {
+  content: "\f85e"; }
+
+.fa-digging::before {
+  content: "\f85e"; }
+
+.fa-trash::before {
+  content: "\f1f8"; }
+
+.fa-gauge-simple::before {
+  content: "\f629"; }
+
+.fa-gauge-simple-med::before {
+  content: "\f629"; }
+
+.fa-tachometer-average::before {
+  content: "\f629"; }
+
+.fa-book-medical::before {
+  content: "\f7e6"; }
+
+.fa-poo::before {
+  content: "\f2fe"; }
+
+.fa-quote-right::before {
+  content: "\f10e"; }
+
+.fa-quote-right-alt::before {
+  content: "\f10e"; }
+
+.fa-shirt::before {
+  content: "\f553"; }
+
+.fa-t-shirt::before {
+  content: "\f553"; }
+
+.fa-tshirt::before {
+  content: "\f553"; }
+
+.fa-cubes::before {
+  content: "\f1b3"; }
+
+.fa-divide::before {
+  content: "\f529"; }
+
+.fa-tenge-sign::before {
+  content: "\f7d7"; }
+
+.fa-tenge::before {
+  content: "\f7d7"; }
+
+.fa-headphones::before {
+  content: "\f025"; }
+
+.fa-hands-holding::before {
+  content: "\f4c2"; }
+
+.fa-hands-clapping::before {
+  content: "\e1a8"; }
+
+.fa-republican::before {
+  content: "\f75e"; }
+
+.fa-arrow-left::before {
+  content: "\f060"; }
+
+.fa-person-circle-xmark::before {
+  content: "\e543"; }
+
+.fa-ruler::before {
+  content: "\f545"; }
+
+.fa-align-left::before {
+  content: "\f036"; }
+
+.fa-dice-d6::before {
+  content: "\f6d1"; }
+
+.fa-restroom::before {
+  content: "\f7bd"; }
+
+.fa-j::before {
+  content: "\4a"; }
+
+.fa-users-viewfinder::before {
+  content: "\e595"; }
+
+.fa-file-video::before {
+  content: "\f1c8"; }
+
+.fa-up-right-from-square::before {
+  content: "\f35d"; }
+
+.fa-external-link-alt::before {
+  content: "\f35d"; }
+
+.fa-table-cells::before {
+  content: "\f00a"; }
+
+.fa-th::before {
+  content: "\f00a"; }
+
+.fa-file-pdf::before {
+  content: "\f1c1"; }
+
+.fa-book-bible::before {
+  content: "\f647"; }
+
+.fa-bible::before {
+  content: "\f647"; }
+
+.fa-o::before {
+  content: "\4f"; }
+
+.fa-suitcase-medical::before {
+  content: "\f0fa"; }
+
+.fa-medkit::before {
+  content: "\f0fa"; }
+
+.fa-user-secret::before {
+  content: "\f21b"; }
+
+.fa-otter::before {
+  content: "\f700"; }
+
+.fa-person-dress::before {
+  content: "\f182"; }
+
+.fa-female::before {
+  content: "\f182"; }
+
+.fa-comment-dollar::before {
+  content: "\f651"; }
+
+.fa-business-time::before {
+  content: "\f64a"; }
+
+.fa-briefcase-clock::before {
+  content: "\f64a"; }
+
+.fa-table-cells-large::before {
+  content: "\f009"; }
+
+.fa-th-large::before {
+  content: "\f009"; }
+
+.fa-book-tanakh::before {
+  content: "\f827"; }
+
+.fa-tanakh::before {
+  content: "\f827"; }
+
+.fa-phone-volume::before {
+  content: "\f2a0"; }
+
+.fa-volume-control-phone::before {
+  content: "\f2a0"; }
+
+.fa-hat-cowboy-side::before {
+  content: "\f8c1"; }
+
+.fa-clipboard-user::before {
+  content: "\f7f3"; }
+
+.fa-child::before {
+  content: "\f1ae"; }
+
+.fa-lira-sign::before {
+  content: "\f195"; }
+
+.fa-satellite::before {
+  content: "\f7bf"; }
+
+.fa-plane-lock::before {
+  content: "\e558"; }
+
+.fa-tag::before {
+  content: "\f02b"; }
+
+.fa-comment::before {
+  content: "\f075"; }
+
+.fa-cake-candles::before {
+  content: "\f1fd"; }
+
+.fa-birthday-cake::before {
+  content: "\f1fd"; }
+
+.fa-cake::before {
+  content: "\f1fd"; }
+
+.fa-envelope::before {
+  content: "\f0e0"; }
+
+.fa-angles-up::before {
+  content: "\f102"; }
+
+.fa-angle-double-up::before {
+  content: "\f102"; }
+
+.fa-paperclip::before {
+  content: "\f0c6"; }
+
+.fa-arrow-right-to-city::before {
+  content: "\e4b3"; }
+
+.fa-ribbon::before {
+  content: "\f4d6"; }
+
+.fa-lungs::before {
+  content: "\f604"; }
+
+.fa-arrow-up-9-1::before {
+  content: "\f887"; }
+
+.fa-sort-numeric-up-alt::before {
+  content: "\f887"; }
+
+.fa-litecoin-sign::before {
+  content: "\e1d3"; }
+
+.fa-border-none::before {
+  content: "\f850"; }
+
+.fa-circle-nodes::before {
+  content: "\e4e2"; }
+
+.fa-parachute-box::before {
+  content: "\f4cd"; }
+
+.fa-indent::before {
+  content: "\f03c"; }
+
+.fa-truck-field-un::before {
+  content: "\e58e"; }
+
+.fa-hourglass::before {
+  content: "\f254"; }
+
+.fa-hourglass-empty::before {
+  content: "\f254"; }
+
+.fa-mountain::before {
+  content: "\f6fc"; }
+
+.fa-user-doctor::before {
+  content: "\f0f0"; }
+
+.fa-user-md::before {
+  content: "\f0f0"; }
+
+.fa-circle-info::before {
+  content: "\f05a"; }
+
+.fa-info-circle::before {
+  content: "\f05a"; }
+
+.fa-cloud-meatball::before {
+  content: "\f73b"; }
+
+.fa-camera::before {
+  content: "\f030"; }
+
+.fa-camera-alt::before {
+  content: "\f030"; }
+
+.fa-square-virus::before {
+  content: "\e578"; }
+
+.fa-meteor::before {
+  content: "\f753"; }
+
+.fa-car-on::before {
+  content: "\e4dd"; }
+
+.fa-sleigh::before {
+  content: "\f7cc"; }
+
+.fa-arrow-down-1-9::before {
+  content: "\f162"; }
+
+.fa-sort-numeric-asc::before {
+  content: "\f162"; }
+
+.fa-sort-numeric-down::before {
+  content: "\f162"; }
+
+.fa-hand-holding-droplet::before {
+  content: "\f4c1"; }
+
+.fa-hand-holding-water::before {
+  content: "\f4c1"; }
+
+.fa-water::before {
+  content: "\f773"; }
+
+.fa-calendar-check::before {
+  content: "\f274"; }
+
+.fa-braille::before {
+  content: "\f2a1"; }
+
+.fa-prescription-bottle-medical::before {
+  content: "\f486"; }
+
+.fa-prescription-bottle-alt::before {
+  content: "\f486"; }
+
+.fa-landmark::before {
+  content: "\f66f"; }
+
+.fa-truck::before {
+  content: "\f0d1"; }
+
+.fa-crosshairs::before {
+  content: "\f05b"; }
+
+.fa-person-cane::before {
+  content: "\e53c"; }
+
+.fa-tent::before {
+  content: "\e57d"; }
+
+.fa-vest-patches::before {
+  content: "\e086"; }
+
+.fa-check-double::before {
+  content: "\f560"; }
+
+.fa-arrow-down-a-z::before {
+  content: "\f15d"; }
+
+.fa-sort-alpha-asc::before {
+  content: "\f15d"; }
+
+.fa-sort-alpha-down::before {
+  content: "\f15d"; }
+
+.fa-money-bill-wheat::before {
+  content: "\e52a"; }
+
+.fa-cookie::before {
+  content: "\f563"; }
+
+.fa-arrow-rotate-left::before {
+  content: "\f0e2"; }
+
+.fa-arrow-left-rotate::before {
+  content: "\f0e2"; }
+
+.fa-arrow-rotate-back::before {
+  content: "\f0e2"; }
+
+.fa-arrow-rotate-backward::before {
+  content: "\f0e2"; }
+
+.fa-undo::before {
+  content: "\f0e2"; }
+
+.fa-hard-drive::before {
+  content: "\f0a0"; }
+
+.fa-hdd::before {
+  content: "\f0a0"; }
+
+.fa-face-grin-squint-tears::before {
+  content: "\f586"; }
+
+.fa-grin-squint-tears::before {
+  content: "\f586"; }
+
+.fa-dumbbell::before {
+  content: "\f44b"; }
+
+.fa-rectangle-list::before {
+  content: "\f022"; }
+
+.fa-list-alt::before {
+  content: "\f022"; }
+
+.fa-tarp-droplet::before {
+  content: "\e57c"; }
+
+.fa-house-medical-circle-check::before {
+  content: "\e511"; }
+
+.fa-person-skiing-nordic::before {
+  content: "\f7ca"; }
+
+.fa-skiing-nordic::before {
+  content: "\f7ca"; }
+
+.fa-calendar-plus::before {
+  content: "\f271"; }
+
+.fa-plane-arrival::before {
+  content: "\f5af"; }
+
+.fa-circle-left::before {
+  content: "\f359"; }
+
+.fa-arrow-alt-circle-left::before {
+  content: "\f359"; }
+
+.fa-train-subway::before {
+  content: "\f239"; }
+
+.fa-subway::before {
+  content: "\f239"; }
+
+.fa-chart-gantt::before {
+  content: "\e0e4"; }
+
+.fa-indian-rupee-sign::before {
+  content: "\e1bc"; }
+
+.fa-indian-rupee::before {
+  content: "\e1bc"; }
+
+.fa-inr::before {
+  content: "\e1bc"; }
+
+.fa-crop-simple::before {
+  content: "\f565"; }
+
+.fa-crop-alt::before {
+  content: "\f565"; }
+
+.fa-money-bill-1::before {
+  content: "\f3d1"; }
+
+.fa-money-bill-alt::before {
+  content: "\f3d1"; }
+
+.fa-left-long::before {
+  content: "\f30a"; }
+
+.fa-long-arrow-alt-left::before {
+  content: "\f30a"; }
+
+.fa-dna::before {
+  content: "\f471"; }
+
+.fa-virus-slash::before {
+  content: "\e075"; }
+
+.fa-minus::before {
+  content: "\f068"; }
+
+.fa-subtract::before {
+  content: "\f068"; }
+
+.fa-chess::before {
+  content: "\f439"; }
+
+.fa-arrow-left-long::before {
+  content: "\f177"; }
+
+.fa-long-arrow-left::before {
+  content: "\f177"; }
+
+.fa-plug-circle-check::before {
+  content: "\e55c"; }
+
+.fa-street-view::before {
+  content: "\f21d"; }
+
+.fa-franc-sign::before {
+  content: "\e18f"; }
+
+.fa-volume-off::before {
+  content: "\f026"; }
+
+.fa-hands-asl-interpreting::before {
+  content: "\f2a3"; }
+
+.fa-american-sign-language-interpreting::before {
+  content: "\f2a3"; }
+
+.fa-asl-interpreting::before {
+  content: "\f2a3"; }
+
+.fa-hands-american-sign-language-interpreting::before {
+  content: "\f2a3"; }
+
+.fa-gear::before {
+  content: "\f013"; }
+
+.fa-cog::before {
+  content: "\f013"; }
+
+.fa-droplet-slash::before {
+  content: "\f5c7"; }
+
+.fa-tint-slash::before {
+  content: "\f5c7"; }
+
+.fa-mosque::before {
+  content: "\f678"; }
+
+.fa-mosquito::before {
+  content: "\e52b"; }
+
+.fa-star-of-david::before {
+  content: "\f69a"; }
+
+.fa-person-military-rifle::before {
+  content: "\e54b"; }
+
+.fa-cart-shopping::before {
+  content: "\f07a"; }
+
+.fa-shopping-cart::before {
+  content: "\f07a"; }
+
+.fa-vials::before {
+  content: "\f493"; }
+
+.fa-plug-circle-plus::before {
+  content: "\e55f"; }
+
+.fa-place-of-worship::before {
+  content: "\f67f"; }
+
+.fa-grip-vertical::before {
+  content: "\f58e"; }
+
+.fa-arrow-turn-up::before {
+  content: "\f148"; }
+
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+  content: "\55"; }
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+  content: "\f048"; }
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+  content: "\f048"; }
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+  content: "\f482"; }
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+  content: "\e005"; }
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+  content: "\f432"; }
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+  content: "\53"; }
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+  content: "\f11c"; }
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+  content: "\f0d7"; }
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+  content: "\f7f2"; }
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+  content: "\f7f2"; }
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+  content: "\f2c8"; }
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+  content: "\f2c8"; }
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+  content: "\f2c8"; }
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+  content: "\f2c8"; }
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+  content: "\f3cf"; }
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+  content: "\f3cf"; }
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+  content: "\e22d"; }
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+  content: "\f4d3"; }
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+  content: "\f242"; }
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+  content: "\f242"; }
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+  content: "\e52e"; }
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+  content: "\f51e"; }
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+  content: "\f66d"; }
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+  content: "\f1de"; }
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+  content: "\f1de"; }
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+  content: "\f802"; }
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+  content: "\f6ff"; }
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+  content: "\f276"; }
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+  content: "\f665"; }
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+  content: "\e3f5"; }
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+  content: "\f0c3"; }
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+  content: "\e31e"; }
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+  content: "\f72b"; }
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+  content: "\f142"; }
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+  content: "\f142"; }
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+  content: "\f145"; }
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+  content: "\f011"; }
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+  content: "\f30b"; }
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+  content: "\f30b"; }
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+  content: "\f74d"; }
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+  content: "\e51d"; }
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+  content: "\f1e4"; }
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+  content: "\f1e4"; }
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+  content: "\e476"; }
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+  content: "\e54e"; }
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+  content: "\e512"; }
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+  content: "\f20a"; }
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+  content: "\f6ec"; }
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+  content: "\f6ec"; }
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+  content: "\f226"; }
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+  content: "\f302"; }
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+  content: "\f1ec"; }
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+  content: "\e535"; }
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+  content: "\4e"; }
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+  content: "\f7da"; }
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+  content: "\f7da"; }
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+  content: "\f73d"; }
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+  content: "\e4d4"; }
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+  content: "\f21a"; }
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+  content: "\f019"; }
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+  content: "\f580"; }
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+  content: "\f580"; }
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+  content: "\f55a"; }
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+  content: "\f55a"; }
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+  content: "\f1fb"; }
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+  content: "\f1fb"; }
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+  content: "\f1fb"; }
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+  content: "\e5a0"; }
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+  content: "\f04e"; }
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+  content: "\f3ce"; }
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+  content: "\f3ce"; }
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+  content: "\f3ce"; }
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+  content: "\f11a"; }
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+  content: "\f11a"; }
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+  content: "\f037"; }
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+  content: "\f6b7"; }
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+  content: "\f6b7"; }
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+  content: "\f2c2"; }
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+  content: "\f2c2"; }
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+  content: "\f03b"; }
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+  content: "\f03b"; }
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+  content: "\e4fe"; }
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+  content: "\f015"; }
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+  content: "\f015"; }
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+  content: "\f015"; }
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+  content: "\f015"; }
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+  content: "\f784"; }
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+  content: "\f812"; }
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+  content: "\42"; }
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+  content: "\f477"; }
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+  content: "\f525"; }
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+  content: "\f535"; }
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+  content: "\f0ec"; }
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+  content: "\f0ec"; }
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+  content: "\f2f9"; }
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+  content: "\f2f9"; }
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+  content: "\f2f9"; }
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+  content: "\f2e7"; }
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+  content: "\f2e7"; }
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+  content: "\f161"; }
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+  content: "\f161"; }
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+  content: "\e1ed"; }
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+  content: "\e2eb"; }
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+  content: "\f54c"; }
+
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+  content: "\f519"; }
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+  content: "\f519"; }
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+  content: "\f63c"; }
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+  content: "\f30c"; }
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+  content: "\f30c"; }
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+  content: "\f04d"; }
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+  content: "\f387"; }
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+  content: "\f093"; }
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+  content: "\f751"; }
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+  content: "\e52d"; }
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+  content: "\e583"; }
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+  content: "\f51f"; }
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+  content: "\f56d"; }
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+  content: "\f56d"; }
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+  content: "\f8ff"; }
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+  content: "\e572"; }
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+  content: "\f0e7"; }
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+  content: "\f0e7"; }
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+  content: "\e4f4"; }
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+.fa-oil-well::before {
+  content: "\e532"; }
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+.fa-vault::before {
+  content: "\e2c5"; }
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+.fa-mars::before {
+  content: "\f222"; }
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+.fa-toilet::before {
+  content: "\f7d8"; }
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+  content: "\e557"; }
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+  content: "\f157"; }
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+  content: "\f157"; }
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+  content: "\f157"; }
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+  content: "\f157"; }
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+  content: "\f157"; }
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+  content: "\f158"; }
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+  content: "\f158"; }
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+  content: "\f158"; }
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+  content: "\f158"; }
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+  content: "\f185"; }
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+  content: "\f7a6"; }
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+  content: "\f59c"; }
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+  content: "\f59c"; }
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+  content: "\f7ab"; }
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+  content: "\e4c3"; }
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+  content: "\f275"; }
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+  content: "\f358"; }
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+  content: "\f358"; }
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+  content: "\e4c1"; }
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+  content: "\e184"; }
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+  content: "\f884"; }
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+  content: "\f884"; }
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+  content: "\f884"; }
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+  content: "\3c"; }
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+  content: "\f107"; }
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+  content: "\e4de"; }
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+  content: "\e061"; }
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+  content: "\f7a4"; }
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+  content: "\f165"; }
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+  content: "\f502"; }
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+  content: "\f178"; }
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+  content: "\f178"; }
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+  content: "\e4ac"; }
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+  content: "\f141"; }
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+  content: "\f141"; }
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+  content: "\f443"; }
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+.fa-kit-medical::before {
+  content: "\f479"; }
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+.fa-first-aid::before {
+  content: "\f479"; }
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+  content: "\e5a9"; }
+
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+  content: "\f552"; }
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+  content: "\e4fb"; }
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+  content: "\f188"; }
+
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+  content: "\f09d"; }
+
+.fa-credit-card-alt::before {
+  content: "\f09d"; }
+
+.fa-car::before {
+  content: "\f1b9"; }
+
+.fa-automobile::before {
+  content: "\f1b9"; }
+
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+  content: "\e4f7"; }
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+  content: "\f5da"; }
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+  content: "\f5da"; }
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+  content: "\e52f"; }
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+  content: "\e4ba"; }
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+  content: "\f6cf"; }
+
+.fa-truck-droplet::before {
+  content: "\e58c"; }
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+  content: "\e5a1"; }
+
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+  content: "\e040"; }
+
+.fa-temperature-up::before {
+  content: "\e040"; }
+
+.fa-medal::before {
+  content: "\f5a2"; }
+
+.fa-bed::before {
+  content: "\f236"; }
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+.fa-square-h::before {
+  content: "\f0fd"; }
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+.fa-h-square::before {
+  content: "\f0fd"; }
+
+.fa-podcast::before {
+  content: "\f2ce"; }
+
+.fa-temperature-full::before {
+  content: "\f2c7"; }
+
+.fa-temperature-4::before {
+  content: "\f2c7"; }
+
+.fa-thermometer-4::before {
+  content: "\f2c7"; }
+
+.fa-thermometer-full::before {
+  content: "\f2c7"; }
+
+.fa-bell::before {
+  content: "\f0f3"; }
+
+.fa-superscript::before {
+  content: "\f12b"; }
+
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+  content: "\e560"; }
+
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+  content: "\f621"; }
+
+.fa-phone-slash::before {
+  content: "\f3dd"; }
+
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+  content: "\f5aa"; }
+
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+  content: "\f4c4"; }
+
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+  content: "\f4c4"; }
+
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+  content: "\f3c5"; }
+
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+  content: "\f3c5"; }
+
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+  content: "\f15b"; }
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+  content: "\3e"; }
+
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+  content: "\f5c4"; }
+
+.fa-swimmer::before {
+  content: "\f5c4"; }
+
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+  content: "\f063"; }
+
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+  content: "\f043"; }
+
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+  content: "\f043"; }
+
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+  content: "\f12d"; }
+
+.fa-earth-americas::before {
+  content: "\f57d"; }
+
+.fa-earth::before {
+  content: "\f57d"; }
+
+.fa-earth-america::before {
+  content: "\f57d"; }
+
+.fa-globe-americas::before {
+  content: "\f57d"; }
+
+.fa-person-burst::before {
+  content: "\e53b"; }
+
+.fa-dove::before {
+  content: "\f4ba"; }
+
+.fa-battery-empty::before {
+  content: "\f244"; }
+
+.fa-battery-0::before {
+  content: "\f244"; }
+
+.fa-socks::before {
+  content: "\f696"; }
+
+.fa-inbox::before {
+  content: "\f01c"; }
+
+.fa-section::before {
+  content: "\e447"; }
+
+.fa-gauge-high::before {
+  content: "\f625"; }
+
+.fa-tachometer-alt::before {
+  content: "\f625"; }
+
+.fa-tachometer-alt-fast::before {
+  content: "\f625"; }
+
+.fa-envelope-open-text::before {
+  content: "\f658"; }
+
+.fa-hospital::before {
+  content: "\f0f8"; }
+
+.fa-hospital-alt::before {
+  content: "\f0f8"; }
+
+.fa-hospital-wide::before {
+  content: "\f0f8"; }
+
+.fa-wine-bottle::before {
+  content: "\f72f"; }
+
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+  content: "\f447"; }
+
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+  content: "\f550"; }
+
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+  content: "\f550"; }
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+  content: "\f550"; }
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+.fa-dharmachakra::before {
+  content: "\f655"; }
+
+.fa-hotdog::before {
+  content: "\f80f"; }
+
+.fa-person-walking-with-cane::before {
+  content: "\f29d"; }
+
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+  content: "\f29d"; }
+
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+  content: "\f569"; }
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+  content: "\f810"; }
+
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+  content: "\e4fc"; }
+
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+  content: "\f1ac"; }
+
+.fa-paragraph::before {
+  content: "\f1dd"; }
+
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+  content: "\f772"; }
+
+.fa-vote-yea::before {
+  content: "\f772"; }
+
+.fa-star-half::before {
+  content: "\f089"; }
+
+.fa-boxes-stacked::before {
+  content: "\f468"; }
+
+.fa-boxes::before {
+  content: "\f468"; }
+
+.fa-boxes-alt::before {
+  content: "\f468"; }
+
+.fa-link::before {
+  content: "\f0c1"; }
+
+.fa-chain::before {
+  content: "\f0c1"; }
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+.fa-ear-listen::before {
+  content: "\f2a2"; }
+
+.fa-assistive-listening-systems::before {
+  content: "\f2a2"; }
+
+.fa-tree-city::before {
+  content: "\e587"; }
+
+.fa-play::before {
+  content: "\f04b"; }
+
+.fa-font::before {
+  content: "\f031"; }
+
+.fa-rupiah-sign::before {
+  content: "\e23d"; }
+
+.fa-magnifying-glass::before {
+  content: "\f002"; }
+
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+  content: "\f002"; }
+
+.fa-table-tennis-paddle-ball::before {
+  content: "\f45d"; }
+
+.fa-ping-pong-paddle-ball::before {
+  content: "\f45d"; }
+
+.fa-table-tennis::before {
+  content: "\f45d"; }
+
+.fa-person-dots-from-line::before {
+  content: "\f470"; }
+
+.fa-diagnoses::before {
+  content: "\f470"; }
+
+.fa-trash-can-arrow-up::before {
+  content: "\f82a"; }
+
+.fa-trash-restore-alt::before {
+  content: "\f82a"; }
+
+.fa-naira-sign::before {
+  content: "\e1f6"; }
+
+.fa-cart-arrow-down::before {
+  content: "\f218"; }
+
+.fa-walkie-talkie::before {
+  content: "\f8ef"; }
+
+.fa-file-pen::before {
+  content: "\f31c"; }
+
+.fa-file-edit::before {
+  content: "\f31c"; }
+
+.fa-receipt::before {
+  content: "\f543"; }
+
+.fa-square-pen::before {
+  content: "\f14b"; }
+
+.fa-pen-square::before {
+  content: "\f14b"; }
+
+.fa-pencil-square::before {
+  content: "\f14b"; }
+
+.fa-suitcase-rolling::before {
+  content: "\f5c1"; }
+
+.fa-person-circle-exclamation::before {
+  content: "\e53f"; }
+
+.fa-chevron-down::before {
+  content: "\f078"; }
+
+.fa-battery-full::before {
+  content: "\f240"; }
+
+.fa-battery::before {
+  content: "\f240"; }
+
+.fa-battery-5::before {
+  content: "\f240"; }
+
+.fa-skull-crossbones::before {
+  content: "\f714"; }
+
+.fa-code-compare::before {
+  content: "\e13a"; }
+
+.fa-list-ul::before {
+  content: "\f0ca"; }
+
+.fa-list-dots::before {
+  content: "\f0ca"; }
+
+.fa-school-lock::before {
+  content: "\e56f"; }
+
+.fa-tower-cell::before {
+  content: "\e585"; }
+
+.fa-down-long::before {
+  content: "\f309"; }
+
+.fa-long-arrow-alt-down::before {
+  content: "\f309"; }
+
+.fa-ranking-star::before {
+  content: "\e561"; }
+
+.fa-chess-king::before {
+  content: "\f43f"; }
+
+.fa-person-harassing::before {
+  content: "\e549"; }
+
+.fa-brazilian-real-sign::before {
+  content: "\e46c"; }
+
+.fa-landmark-dome::before {
+  content: "\f752"; }
+
+.fa-landmark-alt::before {
+  content: "\f752"; }
+
+.fa-arrow-up::before {
+  content: "\f062"; }
+
+.fa-tv::before {
+  content: "\f26c"; }
+
+.fa-television::before {
+  content: "\f26c"; }
+
+.fa-tv-alt::before {
+  content: "\f26c"; }
+
+.fa-shrimp::before {
+  content: "\e448"; }
+
+.fa-list-check::before {
+  content: "\f0ae"; }
+
+.fa-tasks::before {
+  content: "\f0ae"; }
+
+.fa-jug-detergent::before {
+  content: "\e519"; }
+
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+  content: "\f2bd"; }
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+.fa-user-circle::before {
+  content: "\f2bd"; }
+
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+  content: "\f505"; }
+
+.fa-wind::before {
+  content: "\f72e"; }
+
+.fa-car-burst::before {
+  content: "\f5e1"; }
+
+.fa-car-crash::before {
+  content: "\f5e1"; }
+
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+  content: "\59"; }
+
+.fa-person-snowboarding::before {
+  content: "\f7ce"; }
+
+.fa-snowboarding::before {
+  content: "\f7ce"; }
+
+.fa-truck-fast::before {
+  content: "\f48b"; }
+
+.fa-shipping-fast::before {
+  content: "\f48b"; }
+
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+  content: "\f578"; }
+
+.fa-user-graduate::before {
+  content: "\f501"; }
+
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+  content: "\f042"; }
+
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+  content: "\f042"; }
+
+.fa-clapperboard::before {
+  content: "\e131"; }
+
+.fa-circle-radiation::before {
+  content: "\f7ba"; }
+
+.fa-radiation-alt::before {
+  content: "\f7ba"; }
+
+.fa-baseball::before {
+  content: "\f433"; }
+
+.fa-baseball-ball::before {
+  content: "\f433"; }
+
+.fa-jet-fighter-up::before {
+  content: "\e518"; }
+
+.fa-diagram-project::before {
+  content: "\f542"; }
+
+.fa-project-diagram::before {
+  content: "\f542"; }
+
+.fa-copy::before {
+  content: "\f0c5"; }
+
+.fa-volume-xmark::before {
+  content: "\f6a9"; }
+
+.fa-volume-mute::before {
+  content: "\f6a9"; }
+
+.fa-volume-times::before {
+  content: "\f6a9"; }
+
+.fa-hand-sparkles::before {
+  content: "\e05d"; }
+
+.fa-grip::before {
+  content: "\f58d"; }
+
+.fa-grip-horizontal::before {
+  content: "\f58d"; }
+
+.fa-share-from-square::before {
+  content: "\f14d"; }
+
+.fa-share-square::before {
+  content: "\f14d"; }
+
+.fa-child-combatant::before {
+  content: "\e4e0"; }
+
+.fa-child-rifle::before {
+  content: "\e4e0"; }
+
+.fa-gun::before {
+  content: "\e19b"; }
+
+.fa-square-phone::before {
+  content: "\f098"; }
+
+.fa-phone-square::before {
+  content: "\f098"; }
+
+.fa-plus::before {
+  content: "\2b"; }
+
+.fa-add::before {
+  content: "\2b"; }
+
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+  content: "\f065"; }
+
+.fa-computer::before {
+  content: "\e4e5"; }
+
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+  content: "\f00d"; }
+
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+  content: "\f00d"; }
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+.fa-multiply::before {
+  content: "\f00d"; }
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+  content: "\f00d"; }
+
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+  content: "\f00d"; }
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+  content: "\f047"; }
+
+.fa-arrows::before {
+  content: "\f047"; }
+
+.fa-chalkboard-user::before {
+  content: "\f51c"; }
+
+.fa-chalkboard-teacher::before {
+  content: "\f51c"; }
+
+.fa-peso-sign::before {
+  content: "\e222"; }
+
+.fa-building-shield::before {
+  content: "\e4d8"; }
+
+.fa-baby::before {
+  content: "\f77c"; }
+
+.fa-users-line::before {
+  content: "\e592"; }
+
+.fa-quote-left::before {
+  content: "\f10d"; }
+
+.fa-quote-left-alt::before {
+  content: "\f10d"; }
+
+.fa-tractor::before {
+  content: "\f722"; }
+
+.fa-trash-arrow-up::before {
+  content: "\f829"; }
+
+.fa-trash-restore::before {
+  content: "\f829"; }
+
+.fa-arrow-down-up-lock::before {
+  content: "\e4b0"; }
+
+.fa-lines-leaning::before {
+  content: "\e51e"; }
+
+.fa-ruler-combined::before {
+  content: "\f546"; }
+
+.fa-copyright::before {
+  content: "\f1f9"; }
+
+.fa-equals::before {
+  content: "\3d"; }
+
+.fa-blender::before {
+  content: "\f517"; }
+
+.fa-teeth::before {
+  content: "\f62e"; }
+
+.fa-shekel-sign::before {
+  content: "\f20b"; }
+
+.fa-ils::before {
+  content: "\f20b"; }
+
+.fa-shekel::before {
+  content: "\f20b"; }
+
+.fa-sheqel::before {
+  content: "\f20b"; }
+
+.fa-sheqel-sign::before {
+  content: "\f20b"; }
+
+.fa-map::before {
+  content: "\f279"; }
+
+.fa-rocket::before {
+  content: "\f135"; }
+
+.fa-photo-film::before {
+  content: "\f87c"; }
+
+.fa-photo-video::before {
+  content: "\f87c"; }
+
+.fa-folder-minus::before {
+  content: "\f65d"; }
+
+.fa-store::before {
+  content: "\f54e"; }
+
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+  content: "\e098"; }
+
+.fa-plug-circle-minus::before {
+  content: "\e55e"; }
+
+.fa-sign-hanging::before {
+  content: "\f4d9"; }
+
+.fa-sign::before {
+  content: "\f4d9"; }
+
+.fa-bezier-curve::before {
+  content: "\f55b"; }
+
+.fa-bell-slash::before {
+  content: "\f1f6"; }
+
+.fa-tablet::before {
+  content: "\f3fb"; }
+
+.fa-tablet-android::before {
+  content: "\f3fb"; }
+
+.fa-school-flag::before {
+  content: "\e56e"; }
+
+.fa-fill::before {
+  content: "\f575"; }
+
+.fa-angle-up::before {
+  content: "\f106"; }
+
+.fa-drumstick-bite::before {
+  content: "\f6d7"; }
+
+.fa-holly-berry::before {
+  content: "\f7aa"; }
+
+.fa-chevron-left::before {
+  content: "\f053"; }
+
+.fa-bacteria::before {
+  content: "\e059"; }
+
+.fa-hand-lizard::before {
+  content: "\f258"; }
+
+.fa-notdef::before {
+  content: "\e1fe"; }
+
+.fa-disease::before {
+  content: "\f7fa"; }
+
+.fa-briefcase-medical::before {
+  content: "\f469"; }
+
+.fa-genderless::before {
+  content: "\f22d"; }
+
+.fa-chevron-right::before {
+  content: "\f054"; }
+
+.fa-retweet::before {
+  content: "\f079"; }
+
+.fa-car-rear::before {
+  content: "\f5de"; }
+
+.fa-car-alt::before {
+  content: "\f5de"; }
+
+.fa-pump-soap::before {
+  content: "\e06b"; }
+
+.fa-video-slash::before {
+  content: "\f4e2"; }
+
+.fa-battery-quarter::before {
+  content: "\f243"; }
+
+.fa-battery-2::before {
+  content: "\f243"; }
+
+.fa-radio::before {
+  content: "\f8d7"; }
+
+.fa-baby-carriage::before {
+  content: "\f77d"; }
+
+.fa-carriage-baby::before {
+  content: "\f77d"; }
+
+.fa-traffic-light::before {
+  content: "\f637"; }
+
+.fa-thermometer::before {
+  content: "\f491"; }
+
+.fa-vr-cardboard::before {
+  content: "\f729"; }
+
+.fa-hand-middle-finger::before {
+  content: "\f806"; }
+
+.fa-percent::before {
+  content: "\25"; }
+
+.fa-percentage::before {
+  content: "\25"; }
+
+.fa-truck-moving::before {
+  content: "\f4df"; }
+
+.fa-glass-water-droplet::before {
+  content: "\e4f5"; }
+
+.fa-display::before {
+  content: "\e163"; }
+
+.fa-face-smile::before {
+  content: "\f118"; }
+
+.fa-smile::before {
+  content: "\f118"; }
+
+.fa-thumbtack::before {
+  content: "\f08d"; }
+
+.fa-thumb-tack::before {
+  content: "\f08d"; }
+
+.fa-trophy::before {
+  content: "\f091"; }
+
+.fa-person-praying::before {
+  content: "\f683"; }
+
+.fa-pray::before {
+  content: "\f683"; }
+
+.fa-hammer::before {
+  content: "\f6e3"; }
+
+.fa-hand-peace::before {
+  content: "\f25b"; }
+
+.fa-rotate::before {
+  content: "\f2f1"; }
+
+.fa-sync-alt::before {
+  content: "\f2f1"; }
+
+.fa-spinner::before {
+  content: "\f110"; }
+
+.fa-robot::before {
+  content: "\f544"; }
+
+.fa-peace::before {
+  content: "\f67c"; }
+
+.fa-gears::before {
+  content: "\f085"; }
+
+.fa-cogs::before {
+  content: "\f085"; }
+
+.fa-warehouse::before {
+  content: "\f494"; }
+
+.fa-arrow-up-right-dots::before {
+  content: "\e4b7"; }
+
+.fa-splotch::before {
+  content: "\f5bc"; }
+
+.fa-face-grin-hearts::before {
+  content: "\f584"; }
+
+.fa-grin-hearts::before {
+  content: "\f584"; }
+
+.fa-dice-four::before {
+  content: "\f524"; }
+
+.fa-sim-card::before {
+  content: "\f7c4"; }
+
+.fa-transgender::before {
+  content: "\f225"; }
+
+.fa-transgender-alt::before {
+  content: "\f225"; }
+
+.fa-mercury::before {
+  content: "\f223"; }
+
+.fa-arrow-turn-down::before {
+  content: "\f149"; }
+
+.fa-level-down::before {
+  content: "\f149"; }
+
+.fa-person-falling-burst::before {
+  content: "\e547"; }
+
+.fa-award::before {
+  content: "\f559"; }
+
+.fa-ticket-simple::before {
+  content: "\f3ff"; }
+
+.fa-ticket-alt::before {
+  content: "\f3ff"; }
+
+.fa-building::before {
+  content: "\f1ad"; }
+
+.fa-angles-left::before {
+  content: "\f100"; }
+
+.fa-angle-double-left::before {
+  content: "\f100"; }
+
+.fa-qrcode::before {
+  content: "\f029"; }
+
+.fa-clock-rotate-left::before {
+  content: "\f1da"; }
+
+.fa-history::before {
+  content: "\f1da"; }
+
+.fa-face-grin-beam-sweat::before {
+  content: "\f583"; }
+
+.fa-grin-beam-sweat::before {
+  content: "\f583"; }
+
+.fa-file-export::before {
+  content: "\f56e"; }
+
+.fa-arrow-right-from-file::before {
+  content: "\f56e"; }
+
+.fa-shield::before {
+  content: "\f132"; }
+
+.fa-shield-blank::before {
+  content: "\f132"; }
+
+.fa-arrow-up-short-wide::before {
+  content: "\f885"; }
+
+.fa-sort-amount-up-alt::before {
+  content: "\f885"; }
+
+.fa-house-medical::before {
+  content: "\e3b2"; }
+
+.fa-golf-ball-tee::before {
+  content: "\f450"; }
+
+.fa-golf-ball::before {
+  content: "\f450"; }
+
+.fa-circle-chevron-left::before {
+  content: "\f137"; }
+
+.fa-chevron-circle-left::before {
+  content: "\f137"; }
+
+.fa-house-chimney-window::before {
+  content: "\e00d"; }
+
+.fa-pen-nib::before {
+  content: "\f5ad"; }
+
+.fa-tent-arrow-turn-left::before {
+  content: "\e580"; }
+
+.fa-tents::before {
+  content: "\e582"; }
+
+.fa-wand-magic::before {
+  content: "\f0d0"; }
+
+.fa-magic::before {
+  content: "\f0d0"; }
+
+.fa-dog::before {
+  content: "\f6d3"; }
+
+.fa-carrot::before {
+  content: "\f787"; }
+
+.fa-moon::before {
+  content: "\f186"; }
+
+.fa-wine-glass-empty::before {
+  content: "\f5ce"; }
+
+.fa-wine-glass-alt::before {
+  content: "\f5ce"; }
+
+.fa-cheese::before {
+  content: "\f7ef"; }
+
+.fa-yin-yang::before {
+  content: "\f6ad"; }
+
+.fa-music::before {
+  content: "\f001"; }
+
+.fa-code-commit::before {
+  content: "\f386"; }
+
+.fa-temperature-low::before {
+  content: "\f76b"; }
+
+.fa-person-biking::before {
+  content: "\f84a"; }
+
+.fa-biking::before {
+  content: "\f84a"; }
+
+.fa-broom::before {
+  content: "\f51a"; }
+
+.fa-shield-heart::before {
+  content: "\e574"; }
+
+.fa-gopuram::before {
+  content: "\f664"; }
+
+.fa-earth-oceania::before {
+  content: "\e47b"; }
+
+.fa-globe-oceania::before {
+  content: "\e47b"; }
+
+.fa-square-xmark::before {
+  content: "\f2d3"; }
+
+.fa-times-square::before {
+  content: "\f2d3"; }
+
+.fa-xmark-square::before {
+  content: "\f2d3"; }
+
+.fa-hashtag::before {
+  content: "\23"; }
+
+.fa-up-right-and-down-left-from-center::before {
+  content: "\f424"; }
+
+.fa-expand-alt::before {
+  content: "\f424"; }
+
+.fa-oil-can::before {
+  content: "\f613"; }
+
+.fa-t::before {
+  content: "\54"; }
+
+.fa-hippo::before {
+  content: "\f6ed"; }
+
+.fa-chart-column::before {
+  content: "\e0e3"; }
+
+.fa-infinity::before {
+  content: "\f534"; }
+
+.fa-vial-circle-check::before {
+  content: "\e596"; }
+
+.fa-person-arrow-down-to-line::before {
+  content: "\e538"; }
+
+.fa-voicemail::before {
+  content: "\f897"; }
+
+.fa-fan::before {
+  content: "\f863"; }
+
+.fa-person-walking-luggage::before {
+  content: "\e554"; }
+
+.fa-up-down::before {
+  content: "\f338"; }
+
+.fa-arrows-alt-v::before {
+  content: "\f338"; }
+
+.fa-cloud-moon-rain::before {
+  content: "\f73c"; }
+
+.fa-calendar::before {
+  content: "\f133"; }
+
+.fa-trailer::before {
+  content: "\e041"; }
+
+.fa-bahai::before {
+  content: "\f666"; }
+
+.fa-haykal::before {
+  content: "\f666"; }
+
+.fa-sd-card::before {
+  content: "\f7c2"; }
+
+.fa-dragon::before {
+  content: "\f6d5"; }
+
+.fa-shoe-prints::before {
+  content: "\f54b"; }
+
+.fa-circle-plus::before {
+  content: "\f055"; }
+
+.fa-plus-circle::before {
+  content: "\f055"; }
+
+.fa-face-grin-tongue-wink::before {
+  content: "\f58b"; }
+
+.fa-grin-tongue-wink::before {
+  content: "\f58b"; }
+
+.fa-hand-holding::before {
+  content: "\f4bd"; }
+
+.fa-plug-circle-exclamation::before {
+  content: "\e55d"; }
+
+.fa-link-slash::before {
+  content: "\f127"; }
+
+.fa-chain-broken::before {
+  content: "\f127"; }
+
+.fa-chain-slash::before {
+  content: "\f127"; }
+
+.fa-unlink::before {
+  content: "\f127"; }
+
+.fa-clone::before {
+  content: "\f24d"; }
+
+.fa-person-walking-arrow-loop-left::before {
+  content: "\e551"; }
+
+.fa-arrow-up-z-a::before {
+  content: "\f882"; }
+
+.fa-sort-alpha-up-alt::before {
+  content: "\f882"; }
+
+.fa-fire-flame-curved::before {
+  content: "\f7e4"; }
+
+.fa-fire-alt::before {
+  content: "\f7e4"; }
+
+.fa-tornado::before {
+  content: "\f76f"; }
+
+.fa-file-circle-plus::before {
+  content: "\e494"; }
+
+.fa-book-quran::before {
+  content: "\f687"; }
+
+.fa-quran::before {
+  content: "\f687"; }
+
+.fa-anchor::before {
+  content: "\f13d"; }
+
+.fa-border-all::before {
+  content: "\f84c"; }
+
+.fa-face-angry::before {
+  content: "\f556"; }
+
+.fa-angry::before {
+  content: "\f556"; }
+
+.fa-cookie-bite::before {
+  content: "\f564"; }
+
+.fa-arrow-trend-down::before {
+  content: "\e097"; }
+
+.fa-rss::before {
+  content: "\f09e"; }
+
+.fa-feed::before {
+  content: "\f09e"; }
+
+.fa-draw-polygon::before {
+  content: "\f5ee"; }
+
+.fa-scale-balanced::before {
+  content: "\f24e"; }
+
+.fa-balance-scale::before {
+  content: "\f24e"; }
+
+.fa-gauge-simple-high::before {
+  content: "\f62a"; }
+
+.fa-tachometer::before {
+  content: "\f62a"; }
+
+.fa-tachometer-fast::before {
+  content: "\f62a"; }
+
+.fa-shower::before {
+  content: "\f2cc"; }
+
+.fa-desktop::before {
+  content: "\f390"; }
+
+.fa-desktop-alt::before {
+  content: "\f390"; }
+
+.fa-m::before {
+  content: "\4d"; }
+
+.fa-table-list::before {
+  content: "\f00b"; }
+
+.fa-th-list::before {
+  content: "\f00b"; }
+
+.fa-comment-sms::before {
+  content: "\f7cd"; }
+
+.fa-sms::before {
+  content: "\f7cd"; }
+
+.fa-book::before {
+  content: "\f02d"; }
+
+.fa-user-plus::before {
+  content: "\f234"; }
+
+.fa-check::before {
+  content: "\f00c"; }
+
+.fa-battery-three-quarters::before {
+  content: "\f241"; }
+
+.fa-battery-4::before {
+  content: "\f241"; }
+
+.fa-house-circle-check::before {
+  content: "\e509"; }
+
+.fa-angle-left::before {
+  content: "\f104"; }
+
+.fa-diagram-successor::before {
+  content: "\e47a"; }
+
+.fa-truck-arrow-right::before {
+  content: "\e58b"; }
+
+.fa-arrows-split-up-and-left::before {
+  content: "\e4bc"; }
+
+.fa-hand-fist::before {
+  content: "\f6de"; }
+
+.fa-fist-raised::before {
+  content: "\f6de"; }
+
+.fa-cloud-moon::before {
+  content: "\f6c3"; }
+
+.fa-briefcase::before {
+  content: "\f0b1"; }
+
+.fa-person-falling::before {
+  content: "\e546"; }
+
+.fa-image-portrait::before {
+  content: "\f3e0"; }
+
+.fa-portrait::before {
+  content: "\f3e0"; }
+
+.fa-user-tag::before {
+  content: "\f507"; }
+
+.fa-rug::before {
+  content: "\e569"; }
+
+.fa-earth-europe::before {
+  content: "\f7a2"; }
+
+.fa-globe-europe::before {
+  content: "\f7a2"; }
+
+.fa-cart-flatbed-suitcase::before {
+  content: "\f59d"; }
+
+.fa-luggage-cart::before {
+  content: "\f59d"; }
+
+.fa-rectangle-xmark::before {
+  content: "\f410"; }
+
+.fa-rectangle-times::before {
+  content: "\f410"; }
+
+.fa-times-rectangle::before {
+  content: "\f410"; }
+
+.fa-window-close::before {
+  content: "\f410"; }
+
+.fa-baht-sign::before {
+  content: "\e0ac"; }
+
+.fa-book-open::before {
+  content: "\f518"; }
+
+.fa-book-journal-whills::before {
+  content: "\f66a"; }
+
+.fa-journal-whills::before {
+  content: "\f66a"; }
+
+.fa-handcuffs::before {
+  content: "\e4f8"; }
+
+.fa-triangle-exclamation::before {
+  content: "\f071"; }
+
+.fa-exclamation-triangle::before {
+  content: "\f071"; }
+
+.fa-warning::before {
+  content: "\f071"; }
+
+.fa-database::before {
+  content: "\f1c0"; }
+
+.fa-share::before {
+  content: "\f064"; }
+
+.fa-arrow-turn-right::before {
+  content: "\f064"; }
+
+.fa-mail-forward::before {
+  content: "\f064"; }
+
+.fa-bottle-droplet::before {
+  content: "\e4c4"; }
+
+.fa-mask-face::before {
+  content: "\e1d7"; }
+
+.fa-hill-rockslide::before {
+  content: "\e508"; }
+
+.fa-right-left::before {
+  content: "\f362"; }
+
+.fa-exchange-alt::before {
+  content: "\f362"; }
+
+.fa-paper-plane::before {
+  content: "\f1d8"; }
+
+.fa-road-circle-exclamation::before {
+  content: "\e565"; }
+
+.fa-dungeon::before {
+  content: "\f6d9"; }
+
+.fa-align-right::before {
+  content: "\f038"; }
+
+.fa-money-bill-1-wave::before {
+  content: "\f53b"; }
+
+.fa-money-bill-wave-alt::before {
+  content: "\f53b"; }
+
+.fa-life-ring::before {
+  content: "\f1cd"; }
+
+.fa-hands::before {
+  content: "\f2a7"; }
+
+.fa-sign-language::before {
+  content: "\f2a7"; }
+
+.fa-signing::before {
+  content: "\f2a7"; }
+
+.fa-calendar-day::before {
+  content: "\f783"; }
+
+.fa-water-ladder::before {
+  content: "\f5c5"; }
+
+.fa-ladder-water::before {
+  content: "\f5c5"; }
+
+.fa-swimming-pool::before {
+  content: "\f5c5"; }
+
+.fa-arrows-up-down::before {
+  content: "\f07d"; }
+
+.fa-arrows-v::before {
+  content: "\f07d"; }
+
+.fa-face-grimace::before {
+  content: "\f57f"; }
+
+.fa-grimace::before {
+  content: "\f57f"; }
+
+.fa-wheelchair-move::before {
+  content: "\e2ce"; }
+
+.fa-wheelchair-alt::before {
+  content: "\e2ce"; }
+
+.fa-turn-down::before {
+  content: "\f3be"; }
+
+.fa-level-down-alt::before {
+  content: "\f3be"; }
+
+.fa-person-walking-arrow-right::before {
+  content: "\e552"; }
+
+.fa-square-envelope::before {
+  content: "\f199"; }
+
+.fa-envelope-square::before {
+  content: "\f199"; }
+
+.fa-dice::before {
+  content: "\f522"; }
+
+.fa-bowling-ball::before {
+  content: "\f436"; }
+
+.fa-brain::before {
+  content: "\f5dc"; }
+
+.fa-bandage::before {
+  content: "\f462"; }
+
+.fa-band-aid::before {
+  content: "\f462"; }
+
+.fa-calendar-minus::before {
+  content: "\f272"; }
+
+.fa-circle-xmark::before {
+  content: "\f057"; }
+
+.fa-times-circle::before {
+  content: "\f057"; }
+
+.fa-xmark-circle::before {
+  content: "\f057"; }
+
+.fa-gifts::before {
+  content: "\f79c"; }
+
+.fa-hotel::before {
+  content: "\f594"; }
+
+.fa-earth-asia::before {
+  content: "\f57e"; }
+
+.fa-globe-asia::before {
+  content: "\f57e"; }
+
+.fa-id-card-clip::before {
+  content: "\f47f"; }
+
+.fa-id-card-alt::before {
+  content: "\f47f"; }
+
+.fa-magnifying-glass-plus::before {
+  content: "\f00e"; }
+
+.fa-search-plus::before {
+  content: "\f00e"; }
+
+.fa-thumbs-up::before {
+  content: "\f164"; }
+
+.fa-user-clock::before {
+  content: "\f4fd"; }
+
+.fa-hand-dots::before {
+  content: "\f461"; }
+
+.fa-allergies::before {
+  content: "\f461"; }
+
+.fa-file-invoice::before {
+  content: "\f570"; }
+
+.fa-window-minimize::before {
+  content: "\f2d1"; }
+
+.fa-mug-saucer::before {
+  content: "\f0f4"; }
+
+.fa-coffee::before {
+  content: "\f0f4"; }
+
+.fa-brush::before {
+  content: "\f55d"; }
+
+.fa-mask::before {
+  content: "\f6fa"; }
+
+.fa-magnifying-glass-minus::before {
+  content: "\f010"; }
+
+.fa-search-minus::before {
+  content: "\f010"; }
+
+.fa-ruler-vertical::before {
+  content: "\f548"; }
+
+.fa-user-large::before {
+  content: "\f406"; }
+
+.fa-user-alt::before {
+  content: "\f406"; }
+
+.fa-train-tram::before {
+  content: "\e5b4"; }
+
+.fa-user-nurse::before {
+  content: "\f82f"; }
+
+.fa-syringe::before {
+  content: "\f48e"; }
+
+.fa-cloud-sun::before {
+  content: "\f6c4"; }
+
+.fa-stopwatch-20::before {
+  content: "\e06f"; }
+
+.fa-square-full::before {
+  content: "\f45c"; }
+
+.fa-magnet::before {
+  content: "\f076"; }
+
+.fa-jar::before {
+  content: "\e516"; }
+
+.fa-note-sticky::before {
+  content: "\f249"; }
+
+.fa-sticky-note::before {
+  content: "\f249"; }
+
+.fa-bug-slash::before {
+  content: "\e490"; }
+
+.fa-arrow-up-from-water-pump::before {
+  content: "\e4b6"; }
+
+.fa-bone::before {
+  content: "\f5d7"; }
+
+.fa-user-injured::before {
+  content: "\f728"; }
+
+.fa-face-sad-tear::before {
+  content: "\f5b4"; }
+
+.fa-sad-tear::before {
+  content: "\f5b4"; }
+
+.fa-plane::before {
+  content: "\f072"; }
+
+.fa-tent-arrows-down::before {
+  content: "\e581"; }
+
+.fa-exclamation::before {
+  content: "\21"; }
+
+.fa-arrows-spin::before {
+  content: "\e4bb"; }
+
+.fa-print::before {
+  content: "\f02f"; }
+
+.fa-turkish-lira-sign::before {
+  content: "\e2bb"; }
+
+.fa-try::before {
+  content: "\e2bb"; }
+
+.fa-turkish-lira::before {
+  content: "\e2bb"; }
+
+.fa-dollar-sign::before {
+  content: "\24"; }
+
+.fa-dollar::before {
+  content: "\24"; }
+
+.fa-usd::before {
+  content: "\24"; }
+
+.fa-x::before {
+  content: "\58"; }
+
+.fa-magnifying-glass-dollar::before {
+  content: "\f688"; }
+
+.fa-search-dollar::before {
+  content: "\f688"; }
+
+.fa-users-gear::before {
+  content: "\f509"; }
+
+.fa-users-cog::before {
+  content: "\f509"; }
+
+.fa-person-military-pointing::before {
+  content: "\e54a"; }
+
+.fa-building-columns::before {
+  content: "\f19c"; }
+
+.fa-bank::before {
+  content: "\f19c"; }
+
+.fa-institution::before {
+  content: "\f19c"; }
+
+.fa-museum::before {
+  content: "\f19c"; }
+
+.fa-university::before {
+  content: "\f19c"; }
+
+.fa-umbrella::before {
+  content: "\f0e9"; }
+
+.fa-trowel::before {
+  content: "\e589"; }
+
+.fa-d::before {
+  content: "\44"; }
+
+.fa-stapler::before {
+  content: "\e5af"; }
+
+.fa-masks-theater::before {
+  content: "\f630"; }
+
+.fa-theater-masks::before {
+  content: "\f630"; }
+
+.fa-kip-sign::before {
+  content: "\e1c4"; }
+
+.fa-hand-point-left::before {
+  content: "\f0a5"; }
+
+.fa-handshake-simple::before {
+  content: "\f4c6"; }
+
+.fa-handshake-alt::before {
+  content: "\f4c6"; }
+
+.fa-jet-fighter::before {
+  content: "\f0fb"; }
+
+.fa-fighter-jet::before {
+  content: "\f0fb"; }
+
+.fa-square-share-nodes::before {
+  content: "\f1e1"; }
+
+.fa-share-alt-square::before {
+  content: "\f1e1"; }
+
+.fa-barcode::before {
+  content: "\f02a"; }
+
+.fa-plus-minus::before {
+  content: "\e43c"; }
+
+.fa-video::before {
+  content: "\f03d"; }
+
+.fa-video-camera::before {
+  content: "\f03d"; }
+
+.fa-graduation-cap::before {
+  content: "\f19d"; }
+
+.fa-mortar-board::before {
+  content: "\f19d"; }
+
+.fa-hand-holding-medical::before {
+  content: "\e05c"; }
+
+.fa-person-circle-check::before {
+  content: "\e53e"; }
+
+.fa-turn-up::before {
+  content: "\f3bf"; }
+
+.fa-level-up-alt::before {
+  content: "\f3bf"; }
+
+.sr-only,
+.fa-sr-only {
+  position: absolute;
+  width: 1px;
+  height: 1px;
+  padding: 0;
+  margin: -1px;
+  overflow: hidden;
+  clip: rect(0, 0, 0, 0);
+  white-space: nowrap;
+  border-width: 0; }
+
+.sr-only-focusable:not(:focus),
+.fa-sr-only-focusable:not(:focus) {
+  position: absolute;
+  width: 1px;
+  height: 1px;
+  padding: 0;
+  margin: -1px;
+  overflow: hidden;
+  clip: rect(0, 0, 0, 0);
+  white-space: nowrap;
+  border-width: 0; }
+:root, :host {
+  --fa-style-family-brands: 'Font Awesome 6 Brands';
+  --fa-font-brands: normal 400 1em/1 'Font Awesome 6 Brands'; }
+
+@font-face {
+  font-family: 'Font Awesome 6 Brands';
+  font-style: normal;
+  font-weight: 400;
+  font-display: block;
+  src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); }
+
+.fab,
+.fa-brands {
+  font-weight: 400; }
+
+.fa-monero:before {
+  content: "\f3d0"; }
+
+.fa-hooli:before {
+  content: "\f427"; }
+
+.fa-yelp:before {
+  content: "\f1e9"; }
+
+.fa-cc-visa:before {
+  content: "\f1f0"; }
+
+.fa-lastfm:before {
+  content: "\f202"; }
+
+.fa-shopware:before {
+  content: "\f5b5"; }
+
+.fa-creative-commons-nc:before {
+  content: "\f4e8"; }
+
+.fa-aws:before {
+  content: "\f375"; }
+
+.fa-redhat:before {
+  content: "\f7bc"; }
+
+.fa-yoast:before {
+  content: "\f2b1"; }
+
+.fa-cloudflare:before {
+  content: "\e07d"; }
+
+.fa-ups:before {
+  content: "\f7e0"; }
+
+.fa-wpexplorer:before {
+  content: "\f2de"; }
+
+.fa-dyalog:before {
+  content: "\f399"; }
+
+.fa-bity:before {
+  content: "\f37a"; }
+
+.fa-stackpath:before {
+  content: "\f842"; }
+
+.fa-buysellads:before {
+  content: "\f20d"; }
+
+.fa-first-order:before {
+  content: "\f2b0"; }
+
+.fa-modx:before {
+  content: "\f285"; }
+
+.fa-guilded:before {
+  content: "\e07e"; }
+
+.fa-vnv:before {
+  content: "\f40b"; }
+
+.fa-square-js:before {
+  content: "\f3b9"; }
+
+.fa-js-square:before {
+  content: "\f3b9"; }
+
+.fa-microsoft:before {
+  content: "\f3ca"; }
+
+.fa-qq:before {
+  content: "\f1d6"; }
+
+.fa-orcid:before {
+  content: "\f8d2"; }
+
+.fa-java:before {
+  content: "\f4e4"; }
+
+.fa-invision:before {
+  content: "\f7b0"; }
+
+.fa-creative-commons-pd-alt:before {
+  content: "\f4ed"; }
+
+.fa-centercode:before {
+  content: "\f380"; }
+
+.fa-glide-g:before {
+  content: "\f2a6"; }
+
+.fa-drupal:before {
+  content: "\f1a9"; }
+
+.fa-hire-a-helper:before {
+  content: "\f3b0"; }
+
+.fa-creative-commons-by:before {
+  content: "\f4e7"; }
+
+.fa-unity:before {
+  content: "\e049"; }
+
+.fa-whmcs:before {
+  content: "\f40d"; }
+
+.fa-rocketchat:before {
+  content: "\f3e8"; }
+
+.fa-vk:before {
+  content: "\f189"; }
+
+.fa-untappd:before {
+  content: "\f405"; }
+
+.fa-mailchimp:before {
+  content: "\f59e"; }
+
+.fa-css3-alt:before {
+  content: "\f38b"; }
+
+.fa-square-reddit:before {
+  content: "\f1a2"; }
+
+.fa-reddit-square:before {
+  content: "\f1a2"; }
+
+.fa-vimeo-v:before {
+  content: "\f27d"; }
+
+.fa-contao:before {
+  content: "\f26d"; }
+
+.fa-square-font-awesome:before {
+  content: "\e5ad"; }
+
+.fa-deskpro:before {
+  content: "\f38f"; }
+
+.fa-sistrix:before {
+  content: "\f3ee"; }
+
+.fa-square-instagram:before {
+  content: "\e055"; }
+
+.fa-instagram-square:before {
+  content: "\e055"; }
+
+.fa-battle-net:before {
+  content: "\f835"; }
+
+.fa-the-red-yeti:before {
+  content: "\f69d"; }
+
+.fa-square-hacker-news:before {
+  content: "\f3af"; }
+
+.fa-hacker-news-square:before {
+  content: "\f3af"; }
+
+.fa-edge:before {
+  content: "\f282"; }
+
+.fa-threads:before {
+  content: "\e618"; }
+
+.fa-napster:before {
+  content: "\f3d2"; }
+
+.fa-square-snapchat:before {
+  content: "\f2ad"; }
+
+.fa-snapchat-square:before {
+  content: "\f2ad"; }
+
+.fa-google-plus-g:before {
+  content: "\f0d5"; }
+
+.fa-artstation:before {
+  content: "\f77a"; }
+
+.fa-markdown:before {
+  content: "\f60f"; }
+
+.fa-sourcetree:before {
+  content: "\f7d3"; }
+
+.fa-google-plus:before {
+  content: "\f2b3"; }
+
+.fa-diaspora:before {
+  content: "\f791"; }
+
+.fa-foursquare:before {
+  content: "\f180"; }
+
+.fa-stack-overflow:before {
+  content: "\f16c"; }
+
+.fa-github-alt:before {
+  content: "\f113"; }
+
+.fa-phoenix-squadron:before {
+  content: "\f511"; }
+
+.fa-pagelines:before {
+  content: "\f18c"; }
+
+.fa-algolia:before {
+  content: "\f36c"; }
+
+.fa-red-river:before {
+  content: "\f3e3"; }
+
+.fa-creative-commons-sa:before {
+  content: "\f4ef"; }
+
+.fa-safari:before {
+  content: "\f267"; }
+
+.fa-google:before {
+  content: "\f1a0"; }
+
+.fa-square-font-awesome-stroke:before {
+  content: "\f35c"; }
+
+.fa-font-awesome-alt:before {
+  content: "\f35c"; }
+
+.fa-atlassian:before {
+  content: "\f77b"; }
+
+.fa-linkedin-in:before {
+  content: "\f0e1"; }
+
+.fa-digital-ocean:before {
+  content: "\f391"; }
+
+.fa-nimblr:before {
+  content: "\f5a8"; }
+
+.fa-chromecast:before {
+  content: "\f838"; }
+
+.fa-evernote:before {
+  content: "\f839"; }
+
+.fa-hacker-news:before {
+  content: "\f1d4"; }
+
+.fa-creative-commons-sampling:before {
+  content: "\f4f0"; }
+
+.fa-adversal:before {
+  content: "\f36a"; }
+
+.fa-creative-commons:before {
+  content: "\f25e"; }
+
+.fa-watchman-monitoring:before {
+  content: "\e087"; }
+
+.fa-fonticons:before {
+  content: "\f280"; }
+
+.fa-weixin:before {
+  content: "\f1d7"; }
+
+.fa-shirtsinbulk:before {
+  content: "\f214"; }
+
+.fa-codepen:before {
+  content: "\f1cb"; }
+
+.fa-git-alt:before {
+  content: "\f841"; }
+
+.fa-lyft:before {
+  content: "\f3c3"; }
+
+.fa-rev:before {
+  content: "\f5b2"; }
+
+.fa-windows:before {
+  content: "\f17a"; }
+
+.fa-wizards-of-the-coast:before {
+  content: "\f730"; }
+
+.fa-square-viadeo:before {
+  content: "\f2aa"; }
+
+.fa-viadeo-square:before {
+  content: "\f2aa"; }
+
+.fa-meetup:before {
+  content: "\f2e0"; }
+
+.fa-centos:before {
+  content: "\f789"; }
+
+.fa-adn:before {
+  content: "\f170"; }
+
+.fa-cloudsmith:before {
+  content: "\f384"; }
+
+.fa-pied-piper-alt:before {
+  content: "\f1a8"; }
+
+.fa-square-dribbble:before {
+  content: "\f397"; }
+
+.fa-dribbble-square:before {
+  content: "\f397"; }
+
+.fa-codiepie:before {
+  content: "\f284"; }
+
+.fa-node:before {
+  content: "\f419"; }
+
+.fa-mix:before {
+  content: "\f3cb"; }
+
+.fa-steam:before {
+  content: "\f1b6"; }
+
+.fa-cc-apple-pay:before {
+  content: "\f416"; }
+
+.fa-scribd:before {
+  content: "\f28a"; }
+
+.fa-debian:before {
+  content: "\e60b"; }
+
+.fa-openid:before {
+  content: "\f19b"; }
+
+.fa-instalod:before {
+  content: "\e081"; }
+
+.fa-expeditedssl:before {
+  content: "\f23e"; }
+
+.fa-sellcast:before {
+  content: "\f2da"; }
+
+.fa-square-twitter:before {
+  content: "\f081"; }
+
+.fa-twitter-square:before {
+  content: "\f081"; }
+
+.fa-r-project:before {
+  content: "\f4f7"; }
+
+.fa-delicious:before {
+  content: "\f1a5"; }
+
+.fa-freebsd:before {
+  content: "\f3a4"; }
+
+.fa-vuejs:before {
+  content: "\f41f"; }
+
+.fa-accusoft:before {
+  content: "\f369"; }
+
+.fa-ioxhost:before {
+  content: "\f208"; }
+
+.fa-fonticons-fi:before {
+  content: "\f3a2"; }
+
+.fa-app-store:before {
+  content: "\f36f"; }
+
+.fa-cc-mastercard:before {
+  content: "\f1f1"; }
+
+.fa-itunes-note:before {
+  content: "\f3b5"; }
+
+.fa-golang:before {
+  content: "\e40f"; }
+
+.fa-kickstarter:before {
+  content: "\f3bb"; }
+
+.fa-grav:before {
+  content: "\f2d6"; }
+
+.fa-weibo:before {
+  content: "\f18a"; }
+
+.fa-uncharted:before {
+  content: "\e084"; }
+
+.fa-firstdraft:before {
+  content: "\f3a1"; }
+
+.fa-square-youtube:before {
+  content: "\f431"; }
+
+.fa-youtube-square:before {
+  content: "\f431"; }
+
+.fa-wikipedia-w:before {
+  content: "\f266"; }
+
+.fa-wpressr:before {
+  content: "\f3e4"; }
+
+.fa-rendact:before {
+  content: "\f3e4"; }
+
+.fa-angellist:before {
+  content: "\f209"; }
+
+.fa-galactic-republic:before {
+  content: "\f50c"; }
+
+.fa-nfc-directional:before {
+  content: "\e530"; }
+
+.fa-skype:before {
+  content: "\f17e"; }
+
+.fa-joget:before {
+  content: "\f3b7"; }
+
+.fa-fedora:before {
+  content: "\f798"; }
+
+.fa-stripe-s:before {
+  content: "\f42a"; }
+
+.fa-meta:before {
+  content: "\e49b"; }
+
+.fa-laravel:before {
+  content: "\f3bd"; }
+
+.fa-hotjar:before {
+  content: "\f3b1"; }
+
+.fa-bluetooth-b:before {
+  content: "\f294"; }
+
+.fa-sticker-mule:before {
+  content: "\f3f7"; }
+
+.fa-creative-commons-zero:before {
+  content: "\f4f3"; }
+
+.fa-hips:before {
+  content: "\f452"; }
+
+.fa-behance:before {
+  content: "\f1b4"; }
+
+.fa-reddit:before {
+  content: "\f1a1"; }
+
+.fa-discord:before {
+  content: "\f392"; }
+
+.fa-chrome:before {
+  content: "\f268"; }
+
+.fa-app-store-ios:before {
+  content: "\f370"; }
+
+.fa-cc-discover:before {
+  content: "\f1f2"; }
+
+.fa-wpbeginner:before {
+  content: "\f297"; }
+
+.fa-confluence:before {
+  content: "\f78d"; }
+
+.fa-mdb:before {
+  content: "\f8ca"; }
+
+.fa-dochub:before {
+  content: "\f394"; }
+
+.fa-accessible-icon:before {
+  content: "\f368"; }
+
+.fa-ebay:before {
+  content: "\f4f4"; }
+
+.fa-amazon:before {
+  content: "\f270"; }
+
+.fa-unsplash:before {
+  content: "\e07c"; }
+
+.fa-yarn:before {
+  content: "\f7e3"; }
+
+.fa-square-steam:before {
+  content: "\f1b7"; }
+
+.fa-steam-square:before {
+  content: "\f1b7"; }
+
+.fa-500px:before {
+  content: "\f26e"; }
+
+.fa-square-vimeo:before {
+  content: "\f194"; }
+
+.fa-vimeo-square:before {
+  content: "\f194"; }
+
+.fa-asymmetrik:before {
+  content: "\f372"; }
+
+.fa-font-awesome:before {
+  content: "\f2b4"; }
+
+.fa-font-awesome-flag:before {
+  content: "\f2b4"; }
+
+.fa-font-awesome-logo-full:before {
+  content: "\f2b4"; }
+
+.fa-gratipay:before {
+  content: "\f184"; }
+
+.fa-apple:before {
+  content: "\f179"; }
+
+.fa-hive:before {
+  content: "\e07f"; }
+
+.fa-gitkraken:before {
+  content: "\f3a6"; }
+
+.fa-keybase:before {
+  content: "\f4f5"; }
+
+.fa-apple-pay:before {
+  content: "\f415"; }
+
+.fa-padlet:before {
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+  content: "\e088"; }
+
+.fa-google-pay:before {
+  content: "\e079"; }
+
+.fa-intercom:before {
+  content: "\f7af"; }
+
+.fa-zhihu:before {
+  content: "\f63f"; }
+
+.fa-korvue:before {
+  content: "\f42f"; }
+
+.fa-pix:before {
+  content: "\e43a"; }
+
+.fa-steam-symbol:before {
+  content: "\f3f6"; }
+:root, :host {
+  --fa-style-family-classic: 'Font Awesome 6 Free';
+  --fa-font-regular: normal 400 1em/1 'Font Awesome 6 Free'; }
+
+@font-face {
+  font-family: 'Font Awesome 6 Free';
+  font-style: normal;
+  font-weight: 400;
+  font-display: block;
+  src: url("../webfonts/fa-regular-400.woff2") format("woff2"), url("../webfonts/fa-regular-400.ttf") format("truetype"); }
+
+.far,
+.fa-regular {
+  font-weight: 400; }
+:root, :host {
+  --fa-style-family-classic: 'Font Awesome 6 Free';
+  --fa-font-solid: normal 900 1em/1 'Font Awesome 6 Free'; }
+
+@font-face {
+  font-family: 'Font Awesome 6 Free';
+  font-style: normal;
+  font-weight: 900;
+  font-display: block;
+  src: url("../webfonts/fa-solid-900.woff2") format("woff2"), url("../webfonts/fa-solid-900.ttf") format("truetype"); }
+
+.fas,
+.fa-solid {
+  font-weight: 900; }
+@font-face {
+  font-family: 'Font Awesome 5 Brands';
+  font-display: block;
+  font-weight: 400;
+  src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'Font Awesome 5 Free';
+  font-display: block;
+  font-weight: 900;
+  src: url("../webfonts/fa-solid-900.woff2") format("woff2"), url("../webfonts/fa-solid-900.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'Font Awesome 5 Free';
+  font-display: block;
+  font-weight: 400;
+  src: url("../webfonts/fa-regular-400.woff2") format("woff2"), url("../webfonts/fa-regular-400.ttf") format("truetype"); }
+@font-face {
+  font-family: 'FontAwesome';
+  font-display: block;
+  src: url("../webfonts/fa-solid-900.woff2") format("woff2"), url("../webfonts/fa-solid-900.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'FontAwesome';
+  font-display: block;
+  src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'FontAwesome';
+  font-display: block;
+  src: url("../webfonts/fa-regular-400.woff2") format("woff2"), url("../webfonts/fa-regular-400.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'FontAwesome';
+  font-display: block;
+  src: url("../webfonts/fa-v4compatibility.woff2") format("woff2"), url("../webfonts/fa-v4compatibility.ttf") format("truetype"); }
diff --git a/deps/font-awesome-6.4.2/css/all.min.css b/deps/font-awesome-6.4.2/css/all.min.css
new file mode 100644
index 0000000..6604a06
--- /dev/null
+++ b/deps/font-awesome-6.4.2/css/all.min.css
@@ -0,0 +1,9 @@
+/*!
+ * Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2023 Fonticons, Inc.
+ */
+.fa{font-family:var(--fa-style-family,"Font Awesome 6 Free");font-weight:var(--fa-style,900)}.fa,.fa-brands,.fa-classic,.fa-regular,.fa-sharp,.fa-solid,.fab,.far,.fas{-moz-osx-font-smoothing:grayscale;-webkit-font-smoothing:antialiased;display:var(--fa-display,inline-block);font-style:normal;font-variant:normal;line-height:1;text-rendering:auto}.fa-classic,.fa-regular,.fa-solid,.far,.fas{font-family:"Font Awesome 6 Free"}.fa-brands,.fab{font-family:"Font Awesome 6 Brands"}.fa-1x{font-size:1em}.fa-2x{font-size:2em}.fa-3x{font-size:3em}.fa-4x{font-size:4em}.fa-5x{font-size:5em}.fa-6x{font-size:6em}.fa-7x{font-size:7em}.fa-8x{font-size:8em}.fa-9x{font-size:9em}.fa-10x{font-size:10em}.fa-2xs{font-size:.625em;line-height:.1em;vertical-align:.225em}.fa-xs{font-size:.75em;line-height:.08333em;vertical-align:.125em}.fa-sm{font-size:.875em;line-height:.07143em;vertical-align:.05357em}.fa-lg{font-size:1.25em;line-height:.05em;vertical-align:-.075em}.fa-xl{font-size:1.5em;line-height:.04167em;vertical-align:-.125em}.fa-2xl{font-size:2em;line-height:.03125em;vertical-align:-.1875em}.fa-fw{text-align:center;width:1.25em}.fa-ul{list-style-type:none;margin-left:var(--fa-li-margin,2.5em);padding-left:0}.fa-ul>li{position:relative}.fa-li{left:calc(var(--fa-li-width, 2em)*-1);position:absolute;text-align:center;width:var(--fa-li-width,2em);line-height:inherit}.fa-border{border-radius:var(--fa-border-radius,.1em);border:var(--fa-border-width,.08em) var(--fa-border-style,solid) var(--fa-border-color,#eee);padding:var(--fa-border-padding,.2em .25em .15em)}.fa-pull-left{float:left;margin-right:var(--fa-pull-margin,.3em)}.fa-pull-right{float:right;margin-left:var(--fa-pull-margin,.3em)}.fa-beat{-webkit-animation-name:fa-beat;animation-name:fa-beat;-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,ease-in-out);animation-timing-function:var(--fa-animation-timing,ease-in-out)}.fa-bounce{-webkit-animation-name:fa-bounce;animation-name:fa-bounce;-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,cubic-bezier(.28,.84,.42,1));animation-timing-function:var(--fa-animation-timing,cubic-bezier(.28,.84,.42,1))}.fa-fade{-webkit-animation-name:fa-fade;animation-name:fa-fade;-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1));animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1))}.fa-beat-fade,.fa-fade{-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s)}.fa-beat-fade{-webkit-animation-name:fa-beat-fade;animation-name:fa-beat-fade;-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1));animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1))}.fa-flip{-webkit-animation-name:fa-flip;animation-name:fa-flip;-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,ease-in-out);animation-timing-function:var(--fa-animation-timing,ease-in-out)}.fa-shake{-webkit-animation-name:fa-shake;animation-name:fa-shake;-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,linear);animation-timing-function:var(--fa-animation-timing,linear)}.fa-shake,.fa-spin{-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal)}.fa-spin{-webkit-animation-name:fa-spin;animation-name:fa-spin;-webkit-animation-duration:var(--fa-animation-duration,2s);animation-duration:var(--fa-animation-duration,2s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,linear);animation-timing-function:var(--fa-animation-timing,linear)}.fa-spin-reverse{--fa-animation-direction:reverse}.fa-pulse,.fa-spin-pulse{-webkit-animation-name:fa-spin;animation-name:fa-spin;-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,steps(8));animation-timing-function:var(--fa-animation-timing,steps(8))}@media (prefers-reduced-motion:reduce){.fa-beat,.fa-beat-fade,.fa-bounce,.fa-fade,.fa-flip,.fa-pulse,.fa-shake,.fa-spin,.fa-spin-pulse{-webkit-animation-delay:-1ms;animation-delay:-1ms;-webkit-animation-duration:1ms;animation-duration:1ms;-webkit-animation-iteration-count:1;animation-iteration-count:1;-webkit-transition-delay:0s;transition-delay:0s;-webkit-transition-duration:0s;transition-duration:0s}}@-webkit-keyframes fa-beat{0%,90%{-webkit-transform:scale(1);transform:scale(1)}45%{-webkit-transform:scale(var(--fa-beat-scale,1.25));transform:scale(var(--fa-beat-scale,1.25))}}@keyframes fa-beat{0%,90%{-webkit-transform:scale(1);transform:scale(1)}45%{-webkit-transform:scale(var(--fa-beat-scale,1.25));transform:scale(var(--fa-beat-scale,1.25))}}@-webkit-keyframes fa-bounce{0%{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}10%{-webkit-transform:scale(var(--fa-bounce-start-scale-x,1.1),var(--fa-bounce-start-scale-y,.9)) 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translateY(0)}10%{-webkit-transform:scale(var(--fa-bounce-start-scale-x,1.1),var(--fa-bounce-start-scale-y,.9)) translateY(0);transform:scale(var(--fa-bounce-start-scale-x,1.1),var(--fa-bounce-start-scale-y,.9)) translateY(0)}30%{-webkit-transform:scale(var(--fa-bounce-jump-scale-x,.9),var(--fa-bounce-jump-scale-y,1.1)) translateY(var(--fa-bounce-height,-.5em));transform:scale(var(--fa-bounce-jump-scale-x,.9),var(--fa-bounce-jump-scale-y,1.1)) translateY(var(--fa-bounce-height,-.5em))}50%{-webkit-transform:scale(var(--fa-bounce-land-scale-x,1.05),var(--fa-bounce-land-scale-y,.95)) translateY(0);transform:scale(var(--fa-bounce-land-scale-x,1.05),var(--fa-bounce-land-scale-y,.95)) translateY(0)}57%{-webkit-transform:scale(1) translateY(var(--fa-bounce-rebound,-.125em));transform:scale(1) translateY(var(--fa-bounce-rebound,-.125em))}64%{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}to{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}}@-webkit-keyframes fa-fade{50%{opacity:var(--fa-fade-opacity,.4)}}@keyframes fa-fade{50%{opacity:var(--fa-fade-opacity,.4)}}@-webkit-keyframes fa-beat-fade{0%,to{opacity:var(--fa-beat-fade-opacity,.4);-webkit-transform:scale(1);transform:scale(1)}50%{opacity:1;-webkit-transform:scale(var(--fa-beat-fade-scale,1.125));transform:scale(var(--fa-beat-fade-scale,1.125))}}@keyframes fa-beat-fade{0%,to{opacity:var(--fa-beat-fade-opacity,.4);-webkit-transform:scale(1);transform:scale(1)}50%{opacity:1;-webkit-transform:scale(var(--fa-beat-fade-scale,1.125));transform:scale(var(--fa-beat-fade-scale,1.125))}}@-webkit-keyframes fa-flip{50%{-webkit-transform:rotate3d(var(--fa-flip-x,0),var(--fa-flip-y,1),var(--fa-flip-z,0),var(--fa-flip-angle,-180deg));transform:rotate3d(var(--fa-flip-x,0),var(--fa-flip-y,1),var(--fa-flip-z,0),var(--fa-flip-angle,-180deg))}}@keyframes fa-flip{50%{-webkit-transform:rotate3d(var(--fa-flip-x,0),var(--fa-flip-y,1),var(--fa-flip-z,0),var(--fa-flip-angle,-180deg));transform:rotate3d(var(--fa-flip-x,0),var(--fa-flip-y,1),var(--fa-flip-z,0),var(--fa-flip-angle,-180deg))}}@-webkit-keyframes fa-shake{0%{-webkit-transform:rotate(-15deg);transform:rotate(-15deg)}4%{-webkit-transform:rotate(15deg);transform:rotate(15deg)}8%,24%{-webkit-transform:rotate(-18deg);transform:rotate(-18deg)}12%,28%{-webkit-transform:rotate(18deg);transform:rotate(18deg)}16%{-webkit-transform:rotate(-22deg);transform:rotate(-22deg)}20%{-webkit-transform:rotate(22deg);transform:rotate(22deg)}32%{-webkit-transform:rotate(-12deg);transform:rotate(-12deg)}36%{-webkit-transform:rotate(12deg);transform:rotate(12deg)}40%,to{-webkit-transform:rotate(0deg);transform:rotate(0deg)}}@keyframes fa-shake{0%{-webkit-transform:rotate(-15deg);transform:rotate(-15deg)}4%{-webkit-transform:rotate(15deg);transform:rotate(15deg)}8%,24%{-webkit-transform:rotate(-18deg);transform:rotate(-18deg)}12%,28%{-webkit-transform:rotate(18deg);transform:rotate(18deg)}16%{-webkit-transform:rotate(-22deg);transform:rotate(-22deg)}20%{-webkit-transform:rotate(22deg);transform:rotate(22deg)}32%{-webkit-transform:rotate(-12deg);transform:rotate(-12deg)}36%{-webkit-transform:rotate(12deg);transform:rotate(12deg)}40%,to{-webkit-transform:rotate(0deg);transform:rotate(0deg)}}@-webkit-keyframes fa-spin{0%{-webkit-transform:rotate(0deg);transform:rotate(0deg)}to{-webkit-transform:rotate(1turn);transform:rotate(1turn)}}@keyframes fa-spin{0%{-webkit-transform:rotate(0deg);transform:rotate(0deg)}to{-webkit-transform:rotate(1turn);transform:rotate(1turn)}}.fa-rotate-90{-webkit-transform:rotate(90deg);transform:rotate(90deg)}.fa-rotate-180{-webkit-transform:rotate(180deg);transform:rotate(180deg)}.fa-rotate-270{-webkit-transform:rotate(270deg);transform:rotate(270deg)}.fa-flip-horizontal{-webkit-transform:scaleX(-1);transform:scaleX(-1)}.fa-flip-vertical{-webkit-transform:scaleY(-1);transform:scaleY(-1)}.fa-flip-both,.fa-flip-horizontal.fa-flip-vertical{-webkit-transform:scale(-1);transform:scale(-1)}.fa-rotate-by{-webkit-transform:rotate(var(--fa-rotate-angle,none));transform:rotate(var(--fa-rotate-angle,none))}.fa-stack{display:inline-block;height:2em;line-height:2em;position:relative;vertical-align:middle;width:2.5em}.fa-stack-1x,.fa-stack-2x{left:0;position:absolute;text-align:center;width:100%;z-index:var(--fa-stack-z-index,auto)}.fa-stack-1x{line-height:inherit}.fa-stack-2x{font-size:2em}.fa-inverse{color:var(--fa-inverse,#fff)}
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diff --git a/deps/font-awesome-6.4.2/css/v4-shims.css b/deps/font-awesome-6.4.2/css/v4-shims.css
new file mode 100644
index 0000000..a85953d
--- /dev/null
+++ b/deps/font-awesome-6.4.2/css/v4-shims.css
@@ -0,0 +1,2194 @@
+/*!
+ * Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2023 Fonticons, Inc.
+ */
+.fa.fa-glass:before {
+  content: "\f000"; }
+
+.fa.fa-envelope-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-envelope-o:before {
+  content: "\f0e0"; }
+
+.fa.fa-star-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-star-o:before {
+  content: "\f005"; }
+
+.fa.fa-remove:before {
+  content: "\f00d"; }
+
+.fa.fa-close:before {
+  content: "\f00d"; }
+
+.fa.fa-gear:before {
+  content: "\f013"; }
+
+.fa.fa-trash-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-trash-o:before {
+  content: "\f2ed"; }
+
+.fa.fa-home:before {
+  content: "\f015"; }
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+.fa.fa-file-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
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+.fa.fa-file-o:before {
+  content: "\f15b"; }
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+.fa.fa-clock-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
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+.fa.fa-clock-o:before {
+  content: "\f017"; }
+
+.fa.fa-arrow-circle-o-down {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
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+.fa.fa-arrow-circle-o-down:before {
+  content: "\f358"; }
+
+.fa.fa-arrow-circle-o-up {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-arrow-circle-o-up:before {
+  content: "\f35b"; }
+
+.fa.fa-play-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-play-circle-o:before {
+  content: "\f144"; }
+
+.fa.fa-repeat:before {
+  content: "\f01e"; }
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+.fa.fa-rotate-right:before {
+  content: "\f01e"; }
+
+.fa.fa-refresh:before {
+  content: "\f021"; }
+
+.fa.fa-list-alt {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-list-alt:before {
+  content: "\f022"; }
+
+.fa.fa-dedent:before {
+  content: "\f03b"; }
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+.fa.fa-video-camera:before {
+  content: "\f03d"; }
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+.fa.fa-picture-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
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+  content: "\f03e"; }
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+.fa.fa-photo {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
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+.fa.fa-photo:before {
+  content: "\f03e"; }
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+.fa.fa-image {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
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+.fa.fa-image:before {
+  content: "\f03e"; }
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+.fa.fa-map-marker:before {
+  content: "\f3c5"; }
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+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
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+.fa.fa-pencil-square-o:before {
+  content: "\f044"; }
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+.fa.fa-edit {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
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+.fa.fa-edit:before {
+  content: "\f044"; }
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+.fa.fa-share-square-o:before {
+  content: "\f14d"; }
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+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
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+.fa.fa-check-square-o:before {
+  content: "\f14a"; }
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+.fa.fa-arrows:before {
+  content: "\f0b2"; }
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+.fa.fa-times-circle-o {
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+  font-weight: 400; }
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+.fa.fa-times-circle-o:before {
+  content: "\f057"; }
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+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
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+.fa.fa-check-circle-o:before {
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+.fa.fa-compress:before {
+  content: "\f422"; }
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+.fa.fa-eye {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
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+.fa.fa-eye-slash {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
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+.fa.fa-warning:before {
+  content: "\f071"; }
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+.fa.fa-calendar:before {
+  content: "\f073"; }
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+  content: "\f338"; }
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+  content: "\f337"; }
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+.fa.fa-bar-chart:before {
+  content: "\e0e3"; }
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+.fa.fa-bar-chart-o:before {
+  content: "\e0e3"; }
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+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
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+  font-weight: 400; }
+
+.fa.fa-pause-circle-o:before {
+  content: "\f28b"; }
+
+.fa.fa-stop-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-stop-circle-o:before {
+  content: "\f28d"; }
+
+.fa.fa-bluetooth {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-bluetooth-b {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-gitlab {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wpbeginner {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wpforms {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-envira {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wheelchair-alt {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wheelchair-alt:before {
+  content: "\f368"; }
+
+.fa.fa-question-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-question-circle-o:before {
+  content: "\f059"; }
+
+.fa.fa-volume-control-phone:before {
+  content: "\f2a0"; }
+
+.fa.fa-asl-interpreting:before {
+  content: "\f2a3"; }
+
+.fa.fa-deafness:before {
+  content: "\f2a4"; }
+
+.fa.fa-hard-of-hearing:before {
+  content: "\f2a4"; }
+
+.fa.fa-glide {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-glide-g {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-signing:before {
+  content: "\f2a7"; }
+
+.fa.fa-viadeo {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-viadeo-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-viadeo-square:before {
+  content: "\f2aa"; }
+
+.fa.fa-snapchat {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-snapchat-ghost {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-snapchat-ghost:before {
+  content: "\f2ab"; }
+
+.fa.fa-snapchat-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-snapchat-square:before {
+  content: "\f2ad"; }
+
+.fa.fa-pied-piper {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-first-order {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-yoast {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-themeisle {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-plus-official {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-plus-official:before {
+  content: "\f2b3"; }
+
+.fa.fa-google-plus-circle {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-plus-circle:before {
+  content: "\f2b3"; }
+
+.fa.fa-font-awesome {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-fa {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-fa:before {
+  content: "\f2b4"; }
+
+.fa.fa-handshake-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-handshake-o:before {
+  content: "\f2b5"; }
+
+.fa.fa-envelope-open-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-envelope-open-o:before {
+  content: "\f2b6"; }
+
+.fa.fa-linode {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-address-book-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-address-book-o:before {
+  content: "\f2b9"; }
+
+.fa.fa-vcard:before {
+  content: "\f2bb"; }
+
+.fa.fa-address-card-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-address-card-o:before {
+  content: "\f2bb"; }
+
+.fa.fa-vcard-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-vcard-o:before {
+  content: "\f2bb"; }
+
+.fa.fa-user-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-user-circle-o:before {
+  content: "\f2bd"; }
+
+.fa.fa-user-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-user-o:before {
+  content: "\f007"; }
+
+.fa.fa-id-badge {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-drivers-license:before {
+  content: "\f2c2"; }
+
+.fa.fa-id-card-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-id-card-o:before {
+  content: "\f2c2"; }
+
+.fa.fa-drivers-license-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-drivers-license-o:before {
+  content: "\f2c2"; }
+
+.fa.fa-quora {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-free-code-camp {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-telegram {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-thermometer-4:before {
+  content: "\f2c7"; }
+
+.fa.fa-thermometer:before {
+  content: "\f2c7"; }
+
+.fa.fa-thermometer-3:before {
+  content: "\f2c8"; }
+
+.fa.fa-thermometer-2:before {
+  content: "\f2c9"; }
+
+.fa.fa-thermometer-1:before {
+  content: "\f2ca"; }
+
+.fa.fa-thermometer-0:before {
+  content: "\f2cb"; }
+
+.fa.fa-bathtub:before {
+  content: "\f2cd"; }
+
+.fa.fa-s15:before {
+  content: "\f2cd"; }
+
+.fa.fa-window-maximize {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-window-restore {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-times-rectangle:before {
+  content: "\f410"; }
+
+.fa.fa-window-close-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-window-close-o:before {
+  content: "\f410"; }
+
+.fa.fa-times-rectangle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-times-rectangle-o:before {
+  content: "\f410"; }
+
+.fa.fa-bandcamp {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-grav {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-etsy {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-imdb {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-ravelry {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-eercast {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-eercast:before {
+  content: "\f2da"; }
+
+.fa.fa-snowflake-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-snowflake-o:before {
+  content: "\f2dc"; }
+
+.fa.fa-superpowers {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wpexplorer {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-meetup {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
diff --git a/deps/font-awesome-6.4.2/css/v4-shims.min.css b/deps/font-awesome-6.4.2/css/v4-shims.min.css
new file mode 100644
index 0000000..64e4e8d
--- /dev/null
+++ b/deps/font-awesome-6.4.2/css/v4-shims.min.css
@@ -0,0 +1,6 @@
+/*!
+ * Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2023 Fonticons, Inc.
+ */
+.fa.fa-glass:before{content:"\f000"}.fa.fa-envelope-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-envelope-o:before{content:"\f0e0"}.fa.fa-star-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-star-o:before{content:"\f005"}.fa.fa-close:before,.fa.fa-remove:before{content:"\f00d"}.fa.fa-gear:before{content:"\f013"}.fa.fa-trash-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-trash-o:before{content:"\f2ed"}.fa.fa-home:before{content:"\f015"}.fa.fa-file-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-o:before{content:"\f15b"}.fa.fa-clock-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-clock-o:before{content:"\f017"}.fa.fa-arrow-circle-o-down{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-arrow-circle-o-down:before{content:"\f358"}.fa.fa-arrow-circle-o-up{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-arrow-circle-o-up:before{content:"\f35b"}.fa.fa-play-circle-o{font-family:"Font Awesome 6 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+/*!
+ * headroom.js v0.11.0 - Give your page some headroom. Hide your header until you need it
+ * Copyright (c) 2020 Nick Williams - http://wicky.nillia.ms/headroom.js
+ * License: MIT
+ */
+
+!function(t,n){"object"==typeof exports&&"undefined"!=typeof module?module.exports=n():"function"==typeof define&&define.amd?define(n):(t=t||self).Headroom=n()}(this,function(){"use strict";function t(){return"undefined"!=typeof window}function d(t){return function(t){return t&&t.document&&function(t){return 9===t.nodeType}(t.document)}(t)?function(t){var n=t.document,o=n.body,s=n.documentElement;return{scrollHeight:function(){return Math.max(o.scrollHeight,s.scrollHeight,o.offsetHeight,s.offsetHeight,o.clientHeight,s.clientHeight)},height:function(){return t.innerHeight||s.clientHeight||o.clientHeight},scrollY:function(){return void 0!==t.pageYOffset?t.pageYOffset:(s||o.parentNode||o).scrollTop}}}(t):function(t){return{scrollHeight:function(){return Math.max(t.scrollHeight,t.offsetHeight,t.clientHeight)},height:function(){return Math.max(t.offsetHeight,t.clientHeight)},scrollY:function(){return t.scrollTop}}}(t)}function n(t,s,e){var n,o=function(){var n=!1;try{var t={get passive(){n=!0}};window.addEventListener("test",t,t),window.removeEventListener("test",t,t)}catch(t){n=!1}return n}(),i=!1,r=d(t),l=r.scrollY(),a={};function c(){var t=Math.round(r.scrollY()),n=r.height(),o=r.scrollHeight();a.scrollY=t,a.lastScrollY=l,a.direction=l<t?"down":"up",a.distance=Math.abs(t-l),a.isOutOfBounds=t<0||o<t+n,a.top=t<=s.offset,a.bottom=o<=t+n,a.toleranceExceeded=a.distance>s.tolerance[a.direction],e(a),l=t,i=!1}function h(){i||(i=!0,n=requestAnimationFrame(c))}var u=!!o&&{passive:!0,capture:!1};return t.addEventListener("scroll",h,u),c(),{destroy:function(){cancelAnimationFrame(n),t.removeEventListener("scroll",h,u)}}}function o(t,n){n=n||{},Object.assign(this,o.options,n),this.classes=Object.assign({},o.options.classes,n.classes),this.elem=t,this.tolerance=function(t){return t===Object(t)?t:{down:t,up:t}}(this.tolerance),this.initialised=!1,this.frozen=!1}return o.prototype={constructor:o,init:function(){return o.cutsTheMustard&&!this.initialised&&(this.addClass("initial"),this.initialised=!0,setTimeout(function(t){t.scrollTracker=n(t.scroller,{offset:t.offset,tolerance:t.tolerance},t.update.bind(t))},100,this)),this},destroy:function(){this.initialised=!1,Object.keys(this.classes).forEach(this.removeClass,this),this.scrollTracker.destroy()},unpin:function(){!this.hasClass("pinned")&&this.hasClass("unpinned")||(this.addClass("unpinned"),this.removeClass("pinned"),this.onUnpin&&this.onUnpin.call(this))},pin:function(){this.hasClass("unpinned")&&(this.addClass("pinned"),this.removeClass("unpinned"),this.onPin&&this.onPin.call(this))},freeze:function(){this.frozen=!0,this.addClass("frozen")},unfreeze:function(){this.frozen=!1,this.removeClass("frozen")},top:function(){this.hasClass("top")||(this.addClass("top"),this.removeClass("notTop"),this.onTop&&this.onTop.call(this))},notTop:function(){this.hasClass("notTop")||(this.addClass("notTop"),this.removeClass("top"),this.onNotTop&&this.onNotTop.call(this))},bottom:function(){this.hasClass("bottom")||(this.addClass("bottom"),this.removeClass("notBottom"),this.onBottom&&this.onBottom.call(this))},notBottom:function(){this.hasClass("notBottom")||(this.addClass("notBottom"),this.removeClass("bottom"),this.onNotBottom&&this.onNotBottom.call(this))},shouldUnpin:function(t){return"down"===t.direction&&!t.top&&t.toleranceExceeded},shouldPin:function(t){return"up"===t.direction&&t.toleranceExceeded||t.top},addClass:function(t){this.elem.classList.add.apply(this.elem.classList,this.classes[t].split(" "))},removeClass:function(t){this.elem.classList.remove.apply(this.elem.classList,this.classes[t].split(" "))},hasClass:function(t){return this.classes[t].split(" ").every(function(t){return this.classList.contains(t)},this.elem)},update:function(t){t.isOutOfBounds||!0!==this.frozen&&(t.top?this.top():this.notTop(),t.bottom?this.bottom():this.notBottom(),this.shouldUnpin(t)?this.unpin():this.shouldPin(t)&&this.pin())}},o.options={tolerance:{up:0,down:0},offset:0,scroller:t()?window:null,classes:{frozen:"headroom--frozen",pinned:"headroom--pinned",unpinned:"headroom--unpinned",top:"headroom--top",notTop:"headroom--not-top",bottom:"headroom--bottom",notBottom:"headroom--not-bottom",initial:"headroom"}},o.cutsTheMustard=!!(t()&&function(){}.bind&&"classList"in document.documentElement&&Object.assign&&Object.keys&&requestAnimationFrame),o});
\ No newline at end of file
diff --git a/deps/headroom-0.11.0/jQuery.headroom.min.js b/deps/headroom-0.11.0/jQuery.headroom.min.js
new file mode 100644
index 0000000..17f70c9
--- /dev/null
+++ b/deps/headroom-0.11.0/jQuery.headroom.min.js
@@ -0,0 +1,7 @@
+/*!
+ * headroom.js v0.9.4 - Give your page some headroom. Hide your header until you need it
+ * Copyright (c) 2017 Nick Williams - http://wicky.nillia.ms/headroom.js
+ * License: MIT
+ */
+
+!function(a){a&&(a.fn.headroom=function(b){return this.each(function(){var c=a(this),d=c.data("headroom"),e="object"==typeof b&&b;e=a.extend(!0,{},Headroom.options,e),d||(d=new Headroom(this,e),d.init(),c.data("headroom",d)),"string"==typeof b&&(d[b](),"destroy"===b&&c.removeData("headroom"))})},a("[data-headroom]").each(function(){var b=a(this);b.headroom(b.data())}))}(window.Zepto||window.jQuery);
\ No newline at end of file
diff --git a/deps/search-1.0.0/autocomplete.jquery.min.js b/deps/search-1.0.0/autocomplete.jquery.min.js
new file mode 100644
index 0000000..fb63a6a
--- /dev/null
+++ b/deps/search-1.0.0/autocomplete.jquery.min.js
@@ -0,0 +1,7 @@
+/*!
+ * autocomplete.js 0.38.0
+ * https://github.com/algolia/autocomplete.js
+ * Copyright 2020 Algolia, Inc. and other contributors; Licensed MIT
+ */
+!function(a){function b(d){if(c[d])return c[d].exports;var e=c[d]={exports:{},id:d,loaded:!1};return a[d].call(e.exports,e,e.exports,b),e.loaded=!0,e.exports}var c={};b.m=a,b.c=c,b.p="",b(0)}([function(a,b,c){"use strict";a.exports=c(1)},function(a,b,c){"use strict";var d=c(2),e=c(3);d.element=e;var f=c(4);f.isArray=e.isArray,f.isFunction=e.isFunction,f.isObject=e.isPlainObject,f.bind=e.proxy,f.each=function(a,b){function c(a,c){return b(c,a)}e.each(a,c)},f.map=e.map,f.mixin=e.extend,f.Event=e.Event;var g,h,i,j=c(5),k=c(6);g=e.fn.autocomplete,h="aaAutocomplete",i={initialize:function(a,b){function c(){var c,d=e(this),f=new k({el:d});c=new j({input:d,eventBus:f,dropdownMenuContainer:a.dropdownMenuContainer,hint:void 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i[a]&&"initialize"!==a?(b=this.filter(function(){return!!e(this).data(h)}),i[a].apply(b,[].slice.call(arguments,1))):i.initialize.apply(this,arguments)},e.fn.autocomplete.noConflict=function(){return e.fn.autocomplete=g,this},e.fn.autocomplete.sources=j.sources,e.fn.autocomplete.escapeHighlightedString=f.escapeHighlightedString,a.exports=e.fn.autocomplete},function(a,b){"use strict";a.exports={element:null}},function(a,b){a.exports=jQuery},function(a,b,c){"use strict";function d(a){return a.replace(/[\-\[\]\/\{\}\(\)\*\+\?\.\\\^\$\|]/g,"\\$&")}var e=c(2);a.exports={isArray:null,isFunction:null,isObject:null,bind:null,each:null,map:null,mixin:null,isMsie:function(a){if(void 0===a&&(a=navigator.userAgent),/(msie|trident)/i.test(a)){var b=a.match(/(msie |rv:)(\d+(.\d+)?)/i);if(b)return b[2]}return!1},escapeRegExChars:function(a){return a.replace(/[\-\[\]\/\{\}\(\)\*\+\?\.\\\^\$\|]/g,"\\$&")},isNumber:function(a){return"number"==typeof a},toStr:function(a){return void 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f=document.createElement("div");f.appendChild(document.createTextNode(c));var g=document.createElement("div");return g.appendChild(document.createTextNode(a)),g.innerHTML.replace(RegExp(d(e.innerHTML),"g"),b).replace(RegExp(d(f.innerHTML),"g"),c)}}},function(a,b,c){"use strict";function d(a){var b,c;if(a=a||{},a.input||i.error("missing input"),this.isActivated=!1,this.debug=!!a.debug,this.autoselect=!!a.autoselect,this.autoselectOnBlur=!!a.autoselectOnBlur,this.openOnFocus=!!a.openOnFocus,this.minLength=i.isNumber(a.minLength)?a.minLength:1,this.autoWidth=void 0===a.autoWidth||!!a.autoWidth,this.clearOnSelected=!!a.clearOnSelected,this.tabAutocomplete=void 0===a.tabAutocomplete||!!a.tabAutocomplete,a.hint=!!a.hint,a.hint&&a.appendTo)throw new Error("[autocomplete.js] hint and appendTo options can't be used at the same 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d.Dropdown({appendTo:a.appendTo,wrapper:this.$node,menu:b,datasets:a.datasets,templates:a.templates,cssClasses:a.cssClasses,minLength:this.minLength}).onSync("suggestionClicked",this._onSuggestionClicked,this).onSync("cursorMoved",this._onCursorMoved,this).onSync("cursorRemoved",this._onCursorRemoved,this).onSync("opened",this._onOpened,this).onSync("closed",this._onClosed,this).onSync("shown",this._onShown,this).onSync("empty",this._onEmpty,this).onSync("redrawn",this._onRedrawn,this).onAsync("datasetRendered",this._onDatasetRendered,this),this.input=new 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g=n.dropdown.replace("%PREFIX%",a.cssClasses.prefix).replace("%DROPDOWN_MENU%",a.cssClasses.dropdownMenu);d=j.element(g).css(a.css.dropdown).attr({role:"listbox",id:a.listboxId}),a.templates&&a.templates.dropdownMenu&&d.html(i.templatify(a.templates.dropdownMenu)()),e=b.clone().css(a.css.hint).css(f(b)),e.val("").addClass(i.className(a.cssClasses.prefix,a.cssClasses.hint,!0)).removeAttr("id name placeholder required").prop("readonly",!0).attr({"aria-hidden":"true",autocomplete:"off",spellcheck:"false",tabindex:-1}),e.removeData&&e.removeData(),b.data(h,{"aria-autocomplete":b.attr("aria-autocomplete"),"aria-expanded":b.attr("aria-expanded"),"aria-owns":b.attr("aria-owns"),autocomplete:b.attr("autocomplete"),dir:b.attr("dir"),role:b.attr("role"),spellcheck:b.attr("spellcheck"),style:b.attr("style"),type:b.attr("type")}),b.addClass(i.className(a.cssClasses.prefix,a.cssClasses.input,!0)).attr({autocomplete:"off",spellcheck:!1,role:"combobox","aria-autocomplete":a.datasets&&a.datasets[0]&&a.datasets[0].displayKey?"both":"list","aria-expanded":"false","aria-label":a.ariaLabel,"aria-owns":a.listboxId}).css(a.hint?a.css.input:a.css.inputWithNoHint);try{b.attr("dir")||b.attr("dir","auto")}catch(a){}return c=a.appendTo?c.appendTo(j.element(a.appendTo).eq(0)).eq(0):b.wrap(c).parent(),c.prepend(a.hint?e:null).append(d),{wrapper:c,input:b,hint:e,menu:d}}function f(a){return{backgroundAttachment:a.css("background-attachment"),backgroundClip:a.css("background-clip"),backgroundColor:a.css("background-color"),backgroundImage:a.css("background-image"),backgroundOrigin:a.css("background-origin"),backgroundPosition:a.css("background-position"),backgroundRepeat:a.css("background-repeat"),backgroundSize:a.css("background-size")}}function g(a,b){var c=a.find(i.className(b.prefix,b.input));i.each(c.data(h),function(a,b){void 0===a?c.removeAttr(b):c.attr(b,a)}),c.detach().removeClass(i.className(b.prefix,b.input,!0)).insertAfter(a),c.removeData&&c.removeData(h),a.remove()}var h="aaAttrs",i=c(4),j=c(2),k=c(6),l=c(7),m=c(16),n=c(18),o=c(19);i.mixin(d.prototype,{_bindKeyboardShortcuts:function(a){if(a.keyboardShortcuts){var b=this.$input,c=[];i.each(a.keyboardShortcuts,function(a){"string"==typeof a&&(a=a.toUpperCase().charCodeAt(0)),c.push(a)}),j.element(document).keydown(function(a){var 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c=this.dropdown.getDatumForCursor(),d=this.dropdown.getCurrentCursor().attr("id");this.input.setActiveDescendant(d),c&&(b&&this.input.setInputValue(c.value,!0),this.eventBus.trigger("cursorchanged",c.raw,c.datasetName))},_onCursorRemoved:function(){this.input.resetInputValue(),this._updateHint(),this.eventBus.trigger("cursorremoved")},_onDatasetRendered:function(){this._updateHint(),this.eventBus.trigger("updated")},_onOpened:function(){this._updateHint(),this.input.expand(),this.eventBus.trigger("opened")},_onEmpty:function(){this.eventBus.trigger("empty")},_onRedrawn:function(){this.$node.css("top","0px"),this.$node.css("left","0px");var a=this.$input[0].getBoundingClientRect();this.autoWidth&&this.$node.css("width",a.width+"px");var b=this.$node[0].getBoundingClientRect(),c=a.bottom-b.top;this.$node.css("top",c+"px");var d=a.left-b.left;this.$node.css("left",d+"px"),this.eventBus.trigger("redrawn")},_onShown:function(){this.eventBus.trigger("shown"),this.autoselect&&this.dropdown.cursorTopSuggestion()},_onClosed:function(){this.input.clearHint(),this.input.removeActiveDescendant(),this.input.collapse(),this.eventBus.trigger("closed")},_onFocused:function(){if(this.isActivated=!0,this.openOnFocus){var a=this.input.getQuery();a.length>=this.minLength?this.dropdown.update(a):this.dropdown.empty(),this.dropdown.open()}},_onBlurred:function(){var a,b;a=this.dropdown.getDatumForCursor(),b=this.dropdown.getDatumForTopSuggestion();var c={selectionMethod:"blur"};this.debug||(this.autoselectOnBlur&&a?this._select(a,c):this.autoselectOnBlur&&b?this._select(b,c):(this.isActivated=!1,this.dropdown.empty(),this.dropdown.close()))},_onEnterKeyed:function(a,b){var c,d;c=this.dropdown.getDatumForCursor(),d=this.dropdown.getDatumForTopSuggestion();var 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a=this.input.getInputValue();a.length>=this.minLength?this.dropdown.update(a):this.dropdown.empty()}this.dropdown.open()},close:function(){this.dropdown.close()},setVal:function(a){a=i.toStr(a),this.isActivated?this.input.setInputValue(a):(this.input.setQuery(a),this.input.setInputValue(a,!0)),this._setLanguageDirection()},getVal:function(){return this.input.getQuery()},destroy:function(){this.input.destroy(),this.dropdown.destroy(),g(this.$node,this.cssClasses),this.$node=null},getWrapper:function(){return this.dropdown.$container[0]}}),d.Dropdown=m,d.Input=l,d.sources=c(20),a.exports=d},function(a,b,c){"use strict";function d(a){a&&a.el||e.error("EventBus initialized without el"),this.$el=f.element(a.el)}var e=c(4),f=c(2);e.mixin(d.prototype,{trigger:function(a,b,c,d){var f=e.Event("autocomplete:"+a);return this.$el.trigger(f,[b,c,d]),f}}),a.exports=d},function(a,b,c){"use strict";function d(a){var b,c,d,f,g=this;a=a||{},a.input||i.error("input is 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+var c=[].slice.call(arguments,1);this.cacheSuggestions(a,b,c),this._render.apply(this,[a,b].concat(c))}}if(this.query=a,this.canceled=!1,this.shouldFetchFromCache(a))b.apply(this,[this.cachedSuggestions].concat(this.cachedRenderExtraArgs));else{var c=this,d=function(){c.canceled||c.source(a,b.bind(c))};if(this.debounce){var e=function(){c.debounceTimeout=null,d()};clearTimeout(this.debounceTimeout),this.debounceTimeout=setTimeout(e,this.debounce)}else d()}},cacheSuggestions:function(a,b,c){this.cachedQuery=a,this.cachedSuggestions=b,this.cachedRenderExtraArgs=c},shouldFetchFromCache:function(a){return this.cache&&this.cachedQuery===a&&this.cachedSuggestions&&this.cachedSuggestions.length},clearCachedSuggestions:function(){delete this.cachedQuery,delete this.cachedSuggestions,delete this.cachedRenderExtraArgs},cancel:function(){this.canceled=!0},clear:function(){this.$el&&(this.cancel(),this.$el.empty(),this.trigger("rendered",""))},isEmpty:function(){return this._isEmpty},destroy:function(){this.clearCachedSuggestions(),this.$el=null}}),a.exports=d},function(a,b){"use strict";a.exports={wrapper:'<span class="%ROOT%"></span>',dropdown:'<span class="%PREFIX%%DROPDOWN_MENU%"></span>',dataset:'<div class="%PREFIX%%DATASET%-%CLASS%"></div>',suggestions:'<span class="%PREFIX%%SUGGESTIONS%"></span>',suggestion:'<div class="%PREFIX%%SUGGESTION%"></div>'}},function(a,b,c){"use strict";var d=c(4),e={wrapper:{position:"relative",display:"inline-block"},hint:{position:"absolute",top:"0",left:"0",borderColor:"transparent",boxShadow:"none",opacity:"1"},input:{position:"relative",verticalAlign:"top",backgroundColor:"transparent"},inputWithNoHint:{position:"relative",verticalAlign:"top"},dropdown:{position:"absolute",top:"100%",left:"0",zIndex:"100",display:"none"},suggestions:{display:"block"},suggestion:{whiteSpace:"nowrap",cursor:"pointer"},suggestionChild:{whiteSpace:"normal"},ltr:{left:"0",right:"auto"},rtl:{left:"auto",right:"0"},defaultClasses:{root:"algolia-autocomplete",prefix:"aa",noPrefix:!1,dropdownMenu:"dropdown-menu",input:"input",hint:"hint",suggestions:"suggestions",suggestion:"suggestion",cursor:"cursor",dataset:"dataset",empty:"empty"},appendTo:{wrapper:{position:"absolute",zIndex:"100",display:"none"},input:{},inputWithNoHint:{},dropdown:{display:"block"}}};d.isMsie()&&d.mixin(e.input,{backgroundImage:"url(data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)"}),d.isMsie()&&d.isMsie()<=7&&d.mixin(e.input,{marginTop:"-1px"}),a.exports=e},function(a,b,c){"use strict";a.exports={hits:c(21),popularIn:c(24)}},function(a,b,c){"use strict";var d=c(4),e=c(22),f=c(23),g=function(){function a(a,d){return window.Promise.resolve().then(function(){return b.length&&(e=a.search(b),b=[]),e}).then(function(a){if(a)return c=a.results,c[d]})}var b=[],c=[],e=window.Promise.resolve();return function(c,e){return function(f,g){a(c.as,b.push({indexName:c.indexName,query:f,params:e})-1).then(function(a){a&&g(a.hits,a)}).catch(function(a){d.error(a.message)})}}}();a.exports=function(a,b){var c=f(a.as._ua);if(c&&c[0]>=3&&c[1]>20){var d="autocomplete.js "+e;a.as._ua.indexOf(d)===-1&&(a.as._ua+="; "+d)}return g(a,b)}},function(a,b){a.exports="0.38.0"},function(a,b){"use strict";a.exports=function(a){var b=a.match(/Algolia for JavaScript \((\d+\.)(\d+\.)(\d+)\)/)||a.match(/Algolia for vanilla JavaScript (\d+\.)(\d+\.)(\d+)/);if(b)return[b[1],b[2],b[3]]}},function(a,b,c){"use strict";var d=c(4),e=c(22),f=c(23);a.exports=function(a,b,c,g){function h(h,i){a.search(h,b,function(a,h){if(a)return void d.error(a.message);if(h.hits.length>0){var l=h.hits[0],m=d.mixin({hitsPerPage:0},c);delete m.source,delete m.index;var n=f(k.as._ua);return n&&n[0]>=3&&n[1]>20&&(b.additionalUA="autocomplete.js "+e),void k.search(j(l),m,function(a,b){if(a)return void d.error(a.message);var c=[];if(g.includeAll){var e=g.allTitle||"All departments";c.push(d.mixin({facet:{value:e,count:b.nbHits}},d.cloneDeep(l)))}d.each(b.facets,function(a,b){d.each(a,function(a,e){c.push(d.mixin({facet:{facet:b,value:e,count:a}},d.cloneDeep(l)))})});for(var f=1;f<h.hits.length;++f)c.push(h.hits[f]);i(c,h)})}i([])})}var i=f(a.as._ua);if(i&&i[0]>=3&&i[1]>20&&(b=b||{},b.additionalUA="autocomplete.js "+e),!c.source)return d.error("Missing 'source' key");var j=d.isFunction(c.source)?c.source:function(a){return a[c.source]};if(!c.index)return d.error("Missing 'index' key");var k=c.index;return g=g||{},h}}]);
\ No newline at end of file
diff --git a/deps/search-1.0.0/fuse.min.js b/deps/search-1.0.0/fuse.min.js
new file mode 100644
index 0000000..7def598
--- /dev/null
+++ b/deps/search-1.0.0/fuse.min.js
@@ -0,0 +1,9 @@
+/**
+ * Fuse.js v6.4.6 - Lightweight fuzzy-search (http://fusejs.io)
+ *
+ * Copyright (c) 2021 Kiro Risk (http://kiro.me)
+ * All Rights Reserved. Apache Software License 2.0
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ */
+var e,t;e=this,t=function(){"use strict";function e(t){return(e="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&"function"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?"symbol":typeof e})(t)}function t(e,t){if(!(e instanceof t))throw new TypeError("Cannot call a class as a function")}function n(e,t){for(var n=0;n<t.length;n++){var r=t[n];r.enumerable=r.enumerable||!1,r.configurable=!0,"value"in r&&(r.writable=!0),Object.defineProperty(e,r.key,r)}}function r(e,t,r){return t&&n(e.prototype,t),r&&n(e,r),e}function i(e,t,n){return t in e?Object.defineProperty(e,t,{value:n,enumerable:!0,configurable:!0,writable:!0}):e[t]=n,e}function o(e,t){var n=Object.keys(e);if(Object.getOwnPropertySymbols){var r=Object.getOwnPropertySymbols(e);t&&(r=r.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),n.push.apply(n,r)}return n}function c(e){for(var t=1;t<arguments.length;t++){var n=null!=arguments[t]?arguments[t]:{};t%2?o(Object(n),!0).forEach((function(t){i(e,t,n[t])})):Object.getOwnPropertyDescriptors?Object.defineProperties(e,Object.getOwnPropertyDescriptors(n)):o(Object(n)).forEach((function(t){Object.defineProperty(e,t,Object.getOwnPropertyDescriptor(n,t))}))}return e}function a(e,t){if("function"!=typeof t&&null!==t)throw new TypeError("Super expression must either be null or a function");e.prototype=Object.create(t&&t.prototype,{constructor:{value:e,writable:!0,configurable:!0}}),t&&u(e,t)}function s(e){return(s=Object.setPrototypeOf?Object.getPrototypeOf:function(e){return e.__proto__||Object.getPrototypeOf(e)})(e)}function u(e,t){return(u=Object.setPrototypeOf||function(e,t){return e.__proto__=t,e})(e,t)}function h(e,t){return!t||"object"!=typeof t&&"function"!=typeof t?function(e){if(void 0===e)throw new ReferenceError("this hasn't been initialised - super() hasn't been called");return e}(e):t}function f(e){var t=function(){if("undefined"==typeof 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\ No newline at end of file
diff --git a/deps/search-1.0.0/mark.min.js b/deps/search-1.0.0/mark.min.js
new file mode 100644
index 0000000..1eea053
--- /dev/null
+++ b/deps/search-1.0.0/mark.min.js
@@ -0,0 +1,7 @@
+/*!***************************************************
+* mark.js v8.11.1
+* https://markjs.io/
+* Copyright (c) 2014–2018, Julian Kühnel
+* Released under the MIT license https://git.io/vwTVl
+*****************************************************/
+!function(e,t){"object"==typeof exports&&"undefined"!=typeof module?module.exports=t():"function"==typeof define&&define.amd?define(t):e.Mark=t()}(this,function(){"use strict";var e="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&"function"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?"symbol":typeof e},t=function(e,t){if(!(e instanceof t))throw new TypeError("Cannot call a class as a function")},n=function(){function e(e,t){for(var n=0;n<t.length;n++){var r=t[n];r.enumerable=r.enumerable||!1,r.configurable=!0,"value"in r&&(r.writable=!0),Object.defineProperty(e,r.key,r)}}return function(t,n,r){return n&&e(t.prototype,n),r&&e(t,r),t}}(),r=Object.assign||function(e){for(var t=1;t<arguments.length;t++){var n=arguments[t];for(var r in n)Object.prototype.hasOwnProperty.call(n,r)&&(e[r]=n[r])}return e},i=function(){function e(n){var r=!(arguments.length>1&&void 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+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles">
+<li><a class="dropdown-item" href="articles/A1Introduction.html">Introduction</a></li>
+    <li><a class="dropdown-item" href="articles/A2Installation.html">Installation</a></li>
+    <li><a class="dropdown-item" href="articles/BWorkedExampleAModelRun.html">Worked Example 1 - Single Model Run</a></li>
+    <li><a class="dropdown-item" href="articles/BWorkedExampleBOutbreakRiskCalculation.html">Worked Example 2 - Outbreak Risk Calculation</a></li>
+    <li><a class="dropdown-item" href="articles/BWorkedExampleCEpiDatasetGenerate.html">Worked Example 3 - Generating Epidemiological Data Sets</a></li>
+    <li><a class="dropdown-item" href="articles/BWorkedExampleDMCMC.html">Worked Example 4 - Parameter Estimation Using Markov Chain Monte Carlo Functions</a></li>
+    <li><a class="dropdown-item" href="articles/CGuideAInputs.html">Guide 1 - Inputs</a></li>
+    <li><a class="dropdown-item" href="articles/CGuideBParametersEnvironment.html">Guide 2 - Calculating Parameters From Environmental Data</a></li>
+    <li><a class="dropdown-item" href="articles/CGuideCModelResultsProcess.html">Guide 3 - Processing Model Results</a></li>
+    <li><a class="dropdown-item" href="articles/CGuideDEpiDataGenerate.html">Guide 4 - Generating Epidemiological Data From Model Output</a></li>
+    <li><a class="dropdown-item" href="articles/CGuideELikelihood.html">Guide 5 - Calculating Likelihood Of Observed Data</a></li>
+  </ul>
 </li>
       </ul>
-<form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="search.json" id="search-input" placeholder="Search for" autocomplete="off">
-</form>
-
-      <ul class="navbar-nav"></ul>
+<ul class="navbar-nav">
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="search.json">
+</form></li>
+      </ul>
 </div>
 
-    
+
   </div>
 </nav><div class="container template-home">
 <div class="row">
@@ -114,15 +108,15 @@ <h2 data-toc-skip>Developers</h2>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer>
 </div>
 
-  
 
-  
+
+
 
   </body>
 </html>
diff --git a/katex-auto.js b/katex-auto.js
new file mode 100644
index 0000000..20651d9
--- /dev/null
+++ b/katex-auto.js
@@ -0,0 +1,14 @@
+// https://github.com/jgm/pandoc/blob/29fa97ab96b8e2d62d48326e1b949a71dc41f47a/src/Text/Pandoc/Writers/HTML.hs#L332-L345
+document.addEventListener("DOMContentLoaded", function () {
+  var mathElements = document.getElementsByClassName("math");
+  var macros = [];
+  for (var i = 0; i < mathElements.length; i++) {
+    var texText = mathElements[i].firstChild;
+    if (mathElements[i].tagName == "SPAN") {
+      katex.render(texText.data, mathElements[i], {
+        displayMode: mathElements[i].classList.contains("display"),
+        throwOnError: false,
+        macros: macros,
+        fleqn: false
+      });
+    }}});
diff --git a/lightswitch.js b/lightswitch.js
new file mode 100644
index 0000000..9467125
--- /dev/null
+++ b/lightswitch.js
@@ -0,0 +1,85 @@
+
+/*!
+ * Color mode toggler for Bootstrap's docs (https://getbootstrap.com/)
+ * Copyright 2011-2023 The Bootstrap Authors
+ * Licensed under the Creative Commons Attribution 3.0 Unported License.
+ * Updates for {pkgdown} by the {bslib} authors, also licensed under CC-BY-3.0.
+ */
+
+const getStoredTheme = () => localStorage.getItem('theme')
+const setStoredTheme = theme => localStorage.setItem('theme', theme)
+
+const getPreferredTheme = () => {
+  const storedTheme = getStoredTheme()
+  if (storedTheme) {
+    return storedTheme
+  }
+
+  return window.matchMedia('(prefers-color-scheme: dark)').matches ? 'dark' : 'light'
+}
+
+const setTheme = theme => {
+  if (theme === 'auto') {
+    document.documentElement.setAttribute('data-bs-theme', (window.matchMedia('(prefers-color-scheme: dark)').matches ? 'dark' : 'light'))
+  } else {
+    document.documentElement.setAttribute('data-bs-theme', theme)
+  }
+}
+
+function bsSetupThemeToggle () {
+  'use strict'
+
+  const showActiveTheme = (theme, focus = false) => {
+    var activeLabel, activeIcon;
+
+    document.querySelectorAll('[data-bs-theme-value]').forEach(element => {
+      const buttonTheme = element.getAttribute('data-bs-theme-value')
+      const isActive = buttonTheme == theme
+      
+      element.classList.toggle('active', isActive)
+      element.setAttribute('aria-pressed', isActive)
+
+      if (isActive) {
+        activeLabel = element.textContent;
+        activeIcon = element.querySelector('span').classList.value;
+      }
+    })
+
+    const themeSwitcher = document.querySelector('#dropdown-lightswitch')
+    if (!themeSwitcher) {
+      return
+    }
+
+    themeSwitcher.setAttribute('aria-label', activeLabel)
+    themeSwitcher.querySelector('span').classList.value = activeIcon;
+
+    if (focus) {
+      themeSwitcher.focus()
+    }
+  }
+
+  window.matchMedia('(prefers-color-scheme: dark)').addEventListener('change', () => {
+    const storedTheme = getStoredTheme()
+    if (storedTheme !== 'light' && storedTheme !== 'dark') {
+      setTheme(getPreferredTheme())
+    }
+  })
+
+  window.addEventListener('DOMContentLoaded', () => {
+    showActiveTheme(getPreferredTheme())
+
+    document
+      .querySelectorAll('[data-bs-theme-value]')
+      .forEach(toggle => {
+        toggle.addEventListener('click', () => {
+          const theme = toggle.getAttribute('data-bs-theme-value')
+          setTheme(theme)
+          setStoredTheme(theme)
+          showActiveTheme(theme, true)
+        })
+      })
+  })
+}
+
+setTheme(getPreferredTheme());
+bsSetupThemeToggle();
diff --git a/pkgdown.js b/pkgdown.js
index 9bd6621..9757bf9 100644
--- a/pkgdown.js
+++ b/pkgdown.js
@@ -152,5 +152,3 @@ async function searchFuse(query, callback) {
   });
   });
 })(window.jQuery || window.$)
-
-
diff --git a/pkgdown.yml b/pkgdown.yml
index 433d98a..1569b9e 100644
--- a/pkgdown.yml
+++ b/pkgdown.yml
@@ -1,5 +1,5 @@
 pandoc: 3.1.11
-pkgdown: 2.0.9
+pkgdown: 2.1.0
 pkgdown_sha: ~
 articles:
   A1Introduction: A1Introduction.html
@@ -13,8 +13,7 @@ articles:
   CGuideCModelResultsProcess: CGuideCModelResultsProcess.html
   CGuideDEpiDataGenerate: CGuideDEpiDataGenerate.html
   CGuideELikelihood: CGuideELikelihood.html
-last_built: 2024-07-04T14:37Z
+last_built: 2024-07-08T17:36Z
 urls:
   reference: https://mrc-ide.github.io/YEP/reference
   article: https://mrc-ide.github.io/YEP/articles
-
diff --git a/reference/Generate_Dataset.html b/reference/Generate_Dataset.html
index 6e20bb1..96734ad 100644
--- a/reference/Generate_Dataset.html
+++ b/reference/Generate_Dataset.html
@@ -1,54 +1,47 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Generate annual serological and/or case/death data"><title>Generate_Dataset — Generate_Dataset • YEP</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Generate_Dataset — Generate_Dataset"><meta property="og:description" content="Generate annual serological and/or case/death data"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Generate_Dataset — Generate_Dataset • YEP</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Generate_Dataset — Generate_Dataset"><meta name="description" content="Generate annual serological and/or case/death data"><meta property="og:description" content="Generate annual serological and/or case/death data"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">YEP</a>
 
     <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.2.0</small>
 
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+
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
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-      <ul class="navbar-nav me-auto"><li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
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-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/A1Introduction.html">Introduction</a></li>
+    <li><a class="dropdown-item" href="../articles/A2Installation.html">Installation</a></li>
+    <li><a class="dropdown-item" href="../articles/BWorkedExampleAModelRun.html">Worked Example 1 - Single Model Run</a></li>
+    <li><a class="dropdown-item" href="../articles/BWorkedExampleBOutbreakRiskCalculation.html">Worked Example 2 - Outbreak Risk Calculation</a></li>
+    <li><a class="dropdown-item" href="../articles/BWorkedExampleCEpiDatasetGenerate.html">Worked Example 3 - Generating Epidemiological Data Sets</a></li>
+    <li><a class="dropdown-item" href="../articles/BWorkedExampleDMCMC.html">Worked Example 4 - Parameter Estimation Using Markov Chain Monte Carlo Functions</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideAInputs.html">Guide 1 - Inputs</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideBParametersEnvironment.html">Guide 2 - Calculating Parameters From Environmental Data</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideCModelResultsProcess.html">Guide 3 - Processing Model Results</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideDEpiDataGenerate.html">Guide 4 - Generating Epidemiological Data From Model Output</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideELikelihood.html">Guide 5 - Calculating Likelihood Of Observed Data</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+      </ul></div>
 
-      <ul class="navbar-nav"></ul></div>
 
-    
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Generate_Dataset</h1>
-      
+
+      <h1>Generate_Dataset</h1>
+
       <div class="d-none name"><code>Generate_Dataset.Rd</code></div>
     </div>
 
@@ -82,48 +75,50 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>input_data</dt>
+
+
+<dl><dt id="arg-input-data">input_data<a class="anchor" aria-label="anchor" href="#arg-input-data"></a></dt>
 <dd><p>List of population and vaccination data for multiple regions in standard format [TBA]</p></dd>
 
 
-<dt>FOI_values</dt>
+<dt id="arg-foi-values">FOI_values<a class="anchor" aria-label="anchor" href="#arg-foi-values"></a></dt>
 <dd><p>Vector of values of the force of infection due to spillover from sylvatic reservoir</p></dd>
 
 
-<dt>R0_values</dt>
+<dt id="arg-r-values">R0_values<a class="anchor" aria-label="anchor" href="#arg-r-values"></a></dt>
 <dd><p>Vector of values of the basic reproduction number for human-human transmission</p></dd>
 
 
-<dt>sero_template</dt>
+<dt id="arg-sero-template">sero_template<a class="anchor" aria-label="anchor" href="#arg-sero-template"></a></dt>
 <dd><p>Seroprevalence data template - data frame with region, year, minimum/maximum age, vc_factor [TBA]
 and number of samples</p></dd>
 
 
-<dt>case_template</dt>
+<dt id="arg-case-template">case_template<a class="anchor" aria-label="anchor" href="#arg-case-template"></a></dt>
 <dd><p>Annual reported case/death data template - data frame with region and year</p></dd>
 
 
-<dt>vaccine_efficacy</dt>
+<dt id="arg-vaccine-efficacy">vaccine_efficacy<a class="anchor" aria-label="anchor" href="#arg-vaccine-efficacy"></a></dt>
 <dd><p>Fractional vaccine efficacy</p></dd>
 
 
-<dt>p_severe_inf</dt>
+<dt id="arg-p-severe-inf">p_severe_inf<a class="anchor" aria-label="anchor" href="#arg-p-severe-inf"></a></dt>
 <dd><p>Probability of an infection being severe</p></dd>
 
 
-<dt>p_death_severe_inf</dt>
+<dt id="arg-p-death-severe-inf">p_death_severe_inf<a class="anchor" aria-label="anchor" href="#arg-p-death-severe-inf"></a></dt>
 <dd><p>Probability of a severe infection resulting in death</p></dd>
 
 
-<dt>p_rep_severe</dt>
+<dt id="arg-p-rep-severe">p_rep_severe<a class="anchor" aria-label="anchor" href="#arg-p-rep-severe"></a></dt>
 <dd><p>Probability of reporting of a severe but non-fatal infection</p></dd>
 
 
-<dt>p_rep_death</dt>
+<dt id="arg-p-rep-death">p_rep_death<a class="anchor" aria-label="anchor" href="#arg-p-rep-death"></a></dt>
 <dd><p>Probability of reporting of a fatal infection</p></dd>
 
 
-<dt>mode_start</dt>
+<dt id="arg-mode-start">mode_start<a class="anchor" aria-label="anchor" href="#arg-mode-start"></a></dt>
 <dd><p>Flag indicating how to set initial population immunity level in addition to vaccination <br>
 If mode_start=0, only vaccinated individuals <br>
 If mode_start=1, shift some non-vaccinated individuals into recovered to give herd immunity (uniform by age, R0 based only) <br>
@@ -131,31 +126,31 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 If mode_start=3, shift some non-vaccinated individuals into recovered to give herd immunity (stratified by age)</p></dd>
 
 
-<dt>start_SEIRV</dt>
+<dt id="arg-start-seirv">start_SEIRV<a class="anchor" aria-label="anchor" href="#arg-start-seirv"></a></dt>
 <dd><p>SEIRV data from end of a previous run to use as input (list of datasets, one per region)</p></dd>
 
 
-<dt>dt</dt>
+<dt id="arg-dt">dt<a class="anchor" aria-label="anchor" href="#arg-dt"></a></dt>
 <dd><p>Time increment in days to use in model (should be either 1.0, 2.5 or 5.0 days)</p></dd>
 
 
-<dt>n_reps</dt>
+<dt id="arg-n-reps">n_reps<a class="anchor" aria-label="anchor" href="#arg-n-reps"></a></dt>
 <dd><p>number of stochastic repetitions</p></dd>
 
 
-<dt>deterministic</dt>
+<dt id="arg-deterministic">deterministic<a class="anchor" aria-label="anchor" href="#arg-deterministic"></a></dt>
 <dd><p>TRUE/FALSE - set model to run in deterministic mode if TRUE</p></dd>
 
 
-<dt>mode_parallel</dt>
+<dt id="arg-mode-parallel">mode_parallel<a class="anchor" aria-label="anchor" href="#arg-mode-parallel"></a></dt>
 <dd><p>TRUE/FALSE - set model to run in parallel using cluster if TRUE</p></dd>
 
 
-<dt>cluster</dt>
+<dt id="arg-cluster">cluster<a class="anchor" aria-label="anchor" href="#arg-cluster"></a></dt>
 <dd><p>Cluster of threads to use if mode_parallel=TRUE</p></dd>
 
 
-<dt>output_frame</dt>
+<dt id="arg-output-frame">output_frame<a class="anchor" aria-label="anchor" href="#arg-output-frame"></a></dt>
 <dd><p>TRUE/FALSE - indicate whether to output a complete data frame of results in template format (if TRUE)
   or calculated values only (if FALSE)
 '</p></dd>
@@ -168,7 +163,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 <p>[TBA - Explanation of breakdown of regions to model and how to set lengths of FOI_values and R0_values]</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -177,14 +172,14 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/MCMC.html b/reference/MCMC.html
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@@ -1,54 +1,47 @@
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   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>MCMC</h1>
-      
+
+      <h1>MCMC</h1>
+
       <div class="d-none name"><code>MCMC.Rd</code></div>
     </div>
 
@@ -82,7 +75,9 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>log_params_ini</dt>
+
+
+<dl><dt id="arg-log-params-ini">log_params_ini<a class="anchor" aria-label="anchor" href="#arg-log-params-ini"></a></dt>
 <dd><p>Initial values of parameters to be estimated. These should always be the log() values of the
 actual parameters, ordered as follows: <br>
 1) A number of environmental coefficients used to calculate spillover force of infection values from environmental
@@ -97,71 +92,72 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 are to be estimated, the values separately supplied to this function (see add_values below) should be set to NA.</p></dd>
 
 
-<dt>input_data</dt>
+<dt id="arg-input-data">input_data<a class="anchor" aria-label="anchor" href="#arg-input-data"></a></dt>
 <dd><p>List of population and vaccination data for multiple regions (created using data input creation
 code and usually loaded from RDS file)</p></dd>
 
 
-<dt>obs_sero_data</dt>
+<dt id="arg-obs-sero-data">obs_sero_data<a class="anchor" aria-label="anchor" href="#arg-obs-sero-data"></a></dt>
 <dd><p>Seroprevalence data for comparison, by region, year &amp; age group, in format no. samples/no.
 positives</p></dd>
 
 
-<dt>obs_case_data</dt>
+<dt id="arg-obs-case-data">obs_case_data<a class="anchor" aria-label="anchor" href="#arg-obs-case-data"></a></dt>
 <dd><p>Annual reported case/death data for comparison, by region and year, in format no.
 cases/no. deaths</p></dd>
 
 
-<dt>filename_prefix</dt>
+<dt id="arg-filename-prefix">filename_prefix<a class="anchor" aria-label="anchor" href="#arg-filename-prefix"></a></dt>
 <dd><p>Prefix of names for output files; function outputs a CSV file every 10,000 iterations with a name in the
 format: "(filename_prefix)XX.csv", e.g. Chain00.csv</p></dd>
 
 
-<dt>Niter</dt>
+<dt id="arg-niter">Niter<a class="anchor" aria-label="anchor" href="#arg-niter"></a></dt>
 <dd><p>Total number of iterations to run</p></dd>
 
 
-<dt>mode_start</dt>
+<dt id="arg-mode-start">mode_start<a class="anchor" aria-label="anchor" href="#arg-mode-start"></a></dt>
 <dd><p>Flag indicating how to set initial population immunity level in addition to vaccination <br>
 If mode_start = 0, only vaccinated individuals <br>
 If mode_start = 1, shift some non-vaccinated individuals into recovered to give herd immunity (uniform by age, R0 based only) <br>
 If mode_start = 3, shift some non-vaccinated individuals into recovered to give herd immunity (stratified by age)</p></dd>
 
 
-<dt>prior_settings</dt>
+<dt id="arg-prior-settings">prior_settings<a class="anchor" aria-label="anchor" href="#arg-prior-settings"></a></dt>
 <dd><p>List containing settings for priors: must contain text named "type":
 If type = "zero", prior probability is always zero <br>
-If type = "flat", prior probability is zero if log parameter values in designated ranges log_params_min and log_params_max,
- -Inf otherwise; log_params_min and log_params_max included in prior_settings as vectors of same length as log_params_ini <br>
-If type = "norm", prior probability is given by dnorm calculation on parameter values with settings based on vectors of values
- in prior_settings: <br>
+If type = "flat", prior probability is zero if log parameter values in designated ranges param_min_limits and param_max_limits,
+ -Inf otherwise; param_min_limits and param_max_limits included in prior_settings as vectors of same length as log_params_ini <br>
+If type = "norm", prior probability is given by truncated normal distribution calculation on parameter values with settings based
+on vectors of values in prior_settings: <br>
  norm_params_mean and norm_params_sd (vectors of mean and standard deviation values applied to log FOI/R0
  parameters and to actual values of additional parameters) <br>
  + FOI_mean + FOI_sd (mean + standard deviation of computed FOI, single values)  <br>
- + R0_mean + R0_sd (mean + standard deviation of computed R0, single values) <br></p></dd>
+ + R0_mean + R0_sd (mean + standard deviation of computed R0, single values) <br>
+ + param_min_limits and param_max_limits (lower and upper limits applied to truncated normal distributions)</p></dd>
 
 
-<dt>dt</dt>
+<dt id="arg-dt">dt<a class="anchor" aria-label="anchor" href="#arg-dt"></a></dt>
 <dd><p>time increment in days (must be 1 or 5)</p></dd>
 
 
-<dt>n_reps</dt>
+<dt id="arg-n-reps">n_reps<a class="anchor" aria-label="anchor" href="#arg-n-reps"></a></dt>
 <dd><p>Number of times to repeat calculations to get average likelihood at each iteration</p></dd>
 
 
-<dt>enviro_data</dt>
+<dt id="arg-enviro-data">enviro_data<a class="anchor" aria-label="anchor" href="#arg-enviro-data"></a></dt>
 <dd><p>Data frame of values of environmental covariates (columns) by region (rows)</p></dd>
 
 
-<dt>p_severe_inf</dt>
+<dt id="arg-p-severe-inf">p_severe_inf<a class="anchor" aria-label="anchor" href="#arg-p-severe-inf"></a></dt>
 <dd><p>Probability of an infection being severe</p></dd>
 
 
-<dt>p_death_severe_inf</dt>
+<dt id="arg-p-death-severe-inf">p_death_severe_inf<a class="anchor" aria-label="anchor" href="#arg-p-death-severe-inf"></a></dt>
 <dd><p>Probability of a severe infection resulting in death</p></dd>
 
 
-<dt>add_values</dt>
+<dt id="arg-add-values">add_values<a class="anchor" aria-label="anchor" href="#arg-add-values"></a></dt>
 <dd><p>List of parameters in addition to those governing FOI/R0, either giving a fixed value or giving NA to
  indicate that they are part of the fitted  parameter set <br>
 vaccine_efficacy Vaccine efficacy (proportion of reported vaccinations causing immunity) (must be present) <br>
@@ -170,15 +166,15 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 m_FOI_Brazil Multiplier of spillover FOI for Brazil regions (only relevant if regions in Brazil to be considered)</p></dd>
 
 
-<dt>deterministic</dt>
+<dt id="arg-deterministic">deterministic<a class="anchor" aria-label="anchor" href="#arg-deterministic"></a></dt>
 <dd><p>TRUE/FALSE - set model to run in deterministic mode if TRUE</p></dd>
 
 
-<dt>mode_parallel</dt>
+<dt id="arg-mode-parallel">mode_parallel<a class="anchor" aria-label="anchor" href="#arg-mode-parallel"></a></dt>
 <dd><p>TRUE/FALSE - indicate whether to use parallel processing on supplied cluster for speed</p></dd>
 
 
-<dt>cluster</dt>
+<dt id="arg-cluster">cluster<a class="anchor" aria-label="anchor" href="#arg-cluster"></a></dt>
 <dd><p>Cluster of threads to use if mode_parallel = TRUE
 '</p></dd>
 
@@ -189,7 +185,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 model based on the calculated likelihood of observing supplied data given a particular set of parameters.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -198,14 +194,14 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 </div>
 
 <div class="pkgdown-footer-right">
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+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
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diff --git a/reference/Model_Run.html b/reference/Model_Run.html
index 015b9c3..cc93f0d 100644
--- a/reference/Model_Run.html
+++ b/reference/Model_Run.html
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-      <img src="" class="logo" alt=""><h1>Model_Run</h1>
-      
+
+      <h1>Model_Run</h1>
+
       <div class="d-none name"><code>Model_Run.Rd</code></div>
     </div>
 
@@ -78,31 +71,33 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>FOI_spillover</dt>
+
+
+<dl><dt id="arg-foi-spillover">FOI_spillover<a class="anchor" aria-label="anchor" href="#arg-foi-spillover"></a></dt>
 <dd><p>Force of infection due to spillover from sylvatic reservoir</p></dd>
 
 
-<dt>R0</dt>
+<dt id="arg-r-">R0<a class="anchor" aria-label="anchor" href="#arg-r-"></a></dt>
 <dd><p>Basic reproduction number for urban spread of infection</p></dd>
 
 
-<dt>vacc_data</dt>
+<dt id="arg-vacc-data">vacc_data<a class="anchor" aria-label="anchor" href="#arg-vacc-data"></a></dt>
 <dd><p>Projected vaccination-based immunity (assuming vaccine_efficacy = 1) by age group and year</p></dd>
 
 
-<dt>pop_data</dt>
+<dt id="arg-pop-data">pop_data<a class="anchor" aria-label="anchor" href="#arg-pop-data"></a></dt>
 <dd><p>Population by age group and year</p></dd>
 
 
-<dt>years_data</dt>
+<dt id="arg-years-data">years_data<a class="anchor" aria-label="anchor" href="#arg-years-data"></a></dt>
 <dd><p>Incremental vector of years denoting years for which to save data</p></dd>
 
 
-<dt>start_SEIRV</dt>
+<dt id="arg-start-seirv">start_SEIRV<a class="anchor" aria-label="anchor" href="#arg-start-seirv"></a></dt>
 <dd><p>SEIRV data from end of a previous run to use as input</p></dd>
 
 
-<dt>output_type</dt>
+<dt id="arg-output-type">output_type<a class="anchor" aria-label="anchor" href="#arg-output-type"></a></dt>
 <dd><p>Type of data to output:
 "full" = SEIRVC + FOI for all steps and ages
 "case" = annual total new infections (C) summed across all ages
@@ -112,11 +107,11 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 "case_alt2" = total new infections combined by age for all steps</p></dd>
 
 
-<dt>year0</dt>
+<dt id="arg-year-">year0<a class="anchor" aria-label="anchor" href="#arg-year-"></a></dt>
 <dd><p>First year in population/vaccination data</p></dd>
 
 
-<dt>mode_start</dt>
+<dt id="arg-mode-start">mode_start<a class="anchor" aria-label="anchor" href="#arg-mode-start"></a></dt>
 <dd><p>Flag indicating how to set initial population immunity level in addition to vaccination
 If mode_start = 0, only vaccinated individuals
 If mode_start = 1, shift some non-vaccinated individuals into recovered to give herd immunity (uniform by age, R0 based only)
@@ -124,23 +119,23 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 If mode_start = 3, shift some non-vaccinated individuals into recovered to give herd immunity (stratified by age)</p></dd>
 
 
-<dt>vaccine_efficacy</dt>
+<dt id="arg-vaccine-efficacy">vaccine_efficacy<a class="anchor" aria-label="anchor" href="#arg-vaccine-efficacy"></a></dt>
 <dd><p>Proportional vaccine efficacy</p></dd>
 
 
-<dt>dt</dt>
+<dt id="arg-dt">dt<a class="anchor" aria-label="anchor" href="#arg-dt"></a></dt>
 <dd><p>Time increment in days to use in model (should be 1.0, 2.5 or 5.0 days)</p></dd>
 
 
-<dt>n_particles</dt>
+<dt id="arg-n-particles">n_particles<a class="anchor" aria-label="anchor" href="#arg-n-particles"></a></dt>
 <dd><p>number of particles to use</p></dd>
 
 
-<dt>n_threads</dt>
+<dt id="arg-n-threads">n_threads<a class="anchor" aria-label="anchor" href="#arg-n-threads"></a></dt>
 <dd><p>number of threads to use</p></dd>
 
 
-<dt>deterministic</dt>
+<dt id="arg-deterministic">deterministic<a class="anchor" aria-label="anchor" href="#arg-deterministic"></a></dt>
 <dd><p>TRUE/FALSE - set model to run in deterministic mode if TRUE
 '</p></dd>
 
@@ -152,7 +147,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 values, infection numbers and/or total force of infection values.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -161,14 +156,14 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 </div>
 
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-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
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diff --git a/reference/Model_Run_Many_Reps.html b/reference/Model_Run_Many_Reps.html
index 9d58623..6173f00 100644
--- a/reference/Model_Run_Many_Reps.html
+++ b/reference/Model_Run_Many_Reps.html
@@ -1,54 +1,47 @@
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-    <a class="dropdown-item" href="../articles/CGuideAInputs.html">Guide 1 - Inputs</a>
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-    <a class="dropdown-item" href="../articles/CGuideELikelihood.html">Guide 5 - Calculating Likelihood Of Observed Data</a>
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-</li>
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-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/A1Introduction.html">Introduction</a></li>
+    <li><a class="dropdown-item" href="../articles/A2Installation.html">Installation</a></li>
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+    <li><a class="dropdown-item" href="../articles/BWorkedExampleBOutbreakRiskCalculation.html">Worked Example 2 - Outbreak Risk Calculation</a></li>
+    <li><a class="dropdown-item" href="../articles/BWorkedExampleCEpiDatasetGenerate.html">Worked Example 3 - Generating Epidemiological Data Sets</a></li>
+    <li><a class="dropdown-item" href="../articles/BWorkedExampleDMCMC.html">Worked Example 4 - Parameter Estimation Using Markov Chain Monte Carlo Functions</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideAInputs.html">Guide 1 - Inputs</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideBParametersEnvironment.html">Guide 2 - Calculating Parameters From Environmental Data</a></li>
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+    <li><a class="dropdown-item" href="../articles/CGuideDEpiDataGenerate.html">Guide 4 - Generating Epidemiological Data From Model Output</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideELikelihood.html">Guide 5 - Calculating Likelihood Of Observed Data</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+      </ul></div>
 
-      <ul class="navbar-nav"></ul></div>
 
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 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Model_Run_Many_Reps</h1>
-      
+
+      <h1>Model_Run_Many_Reps</h1>
+
       <div class="d-none name"><code>Model_Run_Many_Reps.Rd</code></div>
     </div>
 
@@ -77,31 +70,33 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>FOI_spillover</dt>
+
+
+<dl><dt id="arg-foi-spillover">FOI_spillover<a class="anchor" aria-label="anchor" href="#arg-foi-spillover"></a></dt>
 <dd><p>Force of infection due to spillover from sylvatic reservoir</p></dd>
 
 
-<dt>R0</dt>
+<dt id="arg-r-">R0<a class="anchor" aria-label="anchor" href="#arg-r-"></a></dt>
 <dd><p>Basic reproduction number for urban spread of infection</p></dd>
 
 
-<dt>vacc_data</dt>
+<dt id="arg-vacc-data">vacc_data<a class="anchor" aria-label="anchor" href="#arg-vacc-data"></a></dt>
 <dd><p>Projected vaccination-based immunity (assuming vaccine_efficacy = 1) by age group and year</p></dd>
 
 
-<dt>pop_data</dt>
+<dt id="arg-pop-data">pop_data<a class="anchor" aria-label="anchor" href="#arg-pop-data"></a></dt>
 <dd><p>Population by age group and year</p></dd>
 
 
-<dt>years_data</dt>
+<dt id="arg-years-data">years_data<a class="anchor" aria-label="anchor" href="#arg-years-data"></a></dt>
 <dd><p>Incremental vector of years denoting years for which to save data</p></dd>
 
 
-<dt>start_SEIRV</dt>
+<dt id="arg-start-seirv">start_SEIRV<a class="anchor" aria-label="anchor" href="#arg-start-seirv"></a></dt>
 <dd><p>SEIRV data from end of a previous run to use as input</p></dd>
 
 
-<dt>output_type</dt>
+<dt id="arg-output-type">output_type<a class="anchor" aria-label="anchor" href="#arg-output-type"></a></dt>
 <dd><p>Type of data to output:
 "full" = SEIRVC + FOI for all steps and ages
 "case" = annual total new infections (C) summed across all ages
@@ -111,11 +106,11 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 "case_alt2" = total new infections combined by age for all steps</p></dd>
 
 
-<dt>year0</dt>
+<dt id="arg-year-">year0<a class="anchor" aria-label="anchor" href="#arg-year-"></a></dt>
 <dd><p>First year in population/vaccination data</p></dd>
 
 
-<dt>mode_start</dt>
+<dt id="arg-mode-start">mode_start<a class="anchor" aria-label="anchor" href="#arg-mode-start"></a></dt>
 <dd><p>Flag indicating how to set initial population immunity level in addition to vaccination
 If mode_start = 0, only vaccinated individuals
 If mode_start = 1, shift some non-vaccinated individuals into recovered to give herd immunity (uniform by age, R0 based only)
@@ -123,19 +118,19 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 If mode_start = 3, shift some non-vaccinated individuals into recovered to give herd immunity (stratified by age)</p></dd>
 
 
-<dt>vaccine_efficacy</dt>
+<dt id="arg-vaccine-efficacy">vaccine_efficacy<a class="anchor" aria-label="anchor" href="#arg-vaccine-efficacy"></a></dt>
 <dd><p>Proportional vaccine efficacy</p></dd>
 
 
-<dt>dt</dt>
+<dt id="arg-dt">dt<a class="anchor" aria-label="anchor" href="#arg-dt"></a></dt>
 <dd><p>Time increment in days to use in model (should be 1.0, 2.5 or 5.0 days)</p></dd>
 
 
-<dt>n_reps</dt>
+<dt id="arg-n-reps">n_reps<a class="anchor" aria-label="anchor" href="#arg-n-reps"></a></dt>
 <dd><p>Number of repetitions (used to set number of particles and threads)</p></dd>
 
 
-<dt>division</dt>
+<dt id="arg-division">division<a class="anchor" aria-label="anchor" href="#arg-division"></a></dt>
 <dd><p>Number of particles/threads to run in one go (up to 20)
 '</p></dd>
 
@@ -148,7 +143,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 running a large number of repetitions (&gt;20).</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -157,14 +152,14 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
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-  
 
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diff --git a/reference/case_data_calculate.html b/reference/case_data_calculate.html
index 9f57e7e..5694d09 100644
--- a/reference/case_data_calculate.html
+++ b/reference/case_data_calculate.html
@@ -1,54 +1,47 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Calculate reported case data from SEIRV model output"><title>case_data_calculate — case_data_calculate • YEP</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="case_data_calculate — case_data_calculate"><meta property="og:description" content="Calculate reported case data from SEIRV model output"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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+    <li><a class="dropdown-item" href="../articles/BWorkedExampleCEpiDatasetGenerate.html">Worked Example 3 - Generating Epidemiological Data Sets</a></li>
+    <li><a class="dropdown-item" href="../articles/BWorkedExampleDMCMC.html">Worked Example 4 - Parameter Estimation Using Markov Chain Monte Carlo Functions</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideAInputs.html">Guide 1 - Inputs</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideBParametersEnvironment.html">Guide 2 - Calculating Parameters From Environmental Data</a></li>
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+    <li><a class="dropdown-item" href="../articles/CGuideDEpiDataGenerate.html">Guide 4 - Generating Epidemiological Data From Model Output</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideELikelihood.html">Guide 5 - Calculating Likelihood Of Observed Data</a></li>
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+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
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   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>case_data_calculate</h1>
-      
+
+      <h1>case_data_calculate</h1>
+
       <div class="d-none name"><code>case_data_calculate.Rd</code></div>
     </div>
 
@@ -72,38 +65,40 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>model_data</dt>
+
+
+<dl><dt id="arg-model-data">model_data<a class="anchor" aria-label="anchor" href="#arg-model-data"></a></dt>
 <dd><p>SEIRV output of Model_Run and similar functions</p></dd>
 
 
-<dt>n_p</dt>
+<dt id="arg-n-p">n_p<a class="anchor" aria-label="anchor" href="#arg-n-p"></a></dt>
 <dd><p>Particle to select from model_data</p></dd>
 
 
-<dt>p_severe_inf</dt>
+<dt id="arg-p-severe-inf">p_severe_inf<a class="anchor" aria-label="anchor" href="#arg-p-severe-inf"></a></dt>
 <dd><p>Probability of an infection being severe</p></dd>
 
 
-<dt>p_death_severe_inf</dt>
+<dt id="arg-p-death-severe-inf">p_death_severe_inf<a class="anchor" aria-label="anchor" href="#arg-p-death-severe-inf"></a></dt>
 <dd><p>Probability of a severe infection resulting in death</p></dd>
 
 
-<dt>p_rep_severe</dt>
+<dt id="arg-p-rep-severe">p_rep_severe<a class="anchor" aria-label="anchor" href="#arg-p-rep-severe"></a></dt>
 <dd><p>Probability of reporting of a severe but non-fatal infection</p></dd>
 
 
-<dt>p_rep_death</dt>
+<dt id="arg-p-rep-death">p_rep_death<a class="anchor" aria-label="anchor" href="#arg-p-rep-death"></a></dt>
 <dd><p>Probability of reporting of a fatal infection</p></dd>
 
 
-<dt>output_type</dt>
+<dt id="arg-output-type">output_type<a class="anchor" aria-label="anchor" href="#arg-output-type"></a></dt>
 <dd><p>Type of output to produce:
 "annual" - Total reported cases and reported deaths by year
 "pts" - Total reported cases and reported deaths for every time point, summed over age groups
 "full" - Reported cases and reported deaths for every time point and age group</p></dd>
 
 
-<dt>deterministic</dt>
+<dt id="arg-deterministic">deterministic<a class="anchor" aria-label="anchor" href="#arg-deterministic"></a></dt>
 <dd><p>Indicates whether to calculate results deterministically (TRUE) or stochastically (FALSE)
 '</p></dd>
 
@@ -113,7 +108,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
     <p>[TBA]</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -122,14 +117,14 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
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diff --git a/reference/case_data_calculate_multi.html b/reference/case_data_calculate_multi.html
index dacef7e..d152f9c 100644
--- a/reference/case_data_calculate_multi.html
+++ b/reference/case_data_calculate_multi.html
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-      <img src="" class="logo" alt=""><h1>case_data_calculate_multi</h1>
-      
+
+      <h1>case_data_calculate_multi</h1>
+
       <div class="d-none name"><code>case_data_calculate_multi.Rd</code></div>
     </div>
 
@@ -71,34 +64,36 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>model_data</dt>
+
+
+<dl><dt id="arg-model-data">model_data<a class="anchor" aria-label="anchor" href="#arg-model-data"></a></dt>
 <dd><p>SEIRV output of Model_Run and similar functions</p></dd>
 
 
-<dt>p_severe_inf</dt>
+<dt id="arg-p-severe-inf">p_severe_inf<a class="anchor" aria-label="anchor" href="#arg-p-severe-inf"></a></dt>
 <dd><p>Probability of an infection being severe</p></dd>
 
 
-<dt>p_death_severe_inf</dt>
+<dt id="arg-p-death-severe-inf">p_death_severe_inf<a class="anchor" aria-label="anchor" href="#arg-p-death-severe-inf"></a></dt>
 <dd><p>Probability of a severe infection resulting in death</p></dd>
 
 
-<dt>p_rep_severe</dt>
+<dt id="arg-p-rep-severe">p_rep_severe<a class="anchor" aria-label="anchor" href="#arg-p-rep-severe"></a></dt>
 <dd><p>Probability of reporting of a severe but non-fatal infection</p></dd>
 
 
-<dt>p_rep_death</dt>
+<dt id="arg-p-rep-death">p_rep_death<a class="anchor" aria-label="anchor" href="#arg-p-rep-death"></a></dt>
 <dd><p>Probability of reporting of a fatal infection</p></dd>
 
 
-<dt>output_type</dt>
+<dt id="arg-output-type">output_type<a class="anchor" aria-label="anchor" href="#arg-output-type"></a></dt>
 <dd><p>Type of output to produce:
 "annual" - Total reported cases and reported deaths by year
 "pts" - Total reported cases and reported deaths for every time point, summed over age groups
 "full" - Reported cases and reported deaths for every time point and age group</p></dd>
 
 
-<dt>deterministic</dt>
+<dt id="arg-deterministic">deterministic<a class="anchor" aria-label="anchor" href="#arg-deterministic"></a></dt>
 <dd><p>Indicates whether to calculate results deterministically (TRUE) or stochastically (FALSE)
 '</p></dd>
 
@@ -108,7 +103,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
     <p>[TBA]</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
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@@ -117,14 +112,14 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 </div>
 
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diff --git a/reference/case_data_compare.html b/reference/case_data_compare.html
index 90ee8b0..a6bf2f8 100644
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@@ -1,54 +1,47 @@
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+    <li><a class="dropdown-item" href="../articles/BWorkedExampleDMCMC.html">Worked Example 4 - Parameter Estimation Using Markov Chain Monte Carlo Functions</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideAInputs.html">Guide 1 - Inputs</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideBParametersEnvironment.html">Guide 2 - Calculating Parameters From Environmental Data</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideCModelResultsProcess.html">Guide 3 - Processing Model Results</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideDEpiDataGenerate.html">Guide 4 - Generating Epidemiological Data From Model Output</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideELikelihood.html">Guide 5 - Calculating Likelihood Of Observed Data</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+      </ul></div>
 
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 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>case_data_compare</h1>
-      
+
+      <h1>case_data_compare</h1>
+
       <div class="d-none name"><code>case_data_compare.Rd</code></div>
     </div>
 
@@ -63,11 +56,13 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>model_values</dt>
+
+
+<dl><dt id="arg-model-values">model_values<a class="anchor" aria-label="anchor" href="#arg-model-values"></a></dt>
 <dd><p>Modelled reported case or death values</p></dd>
 
 
-<dt>obs_values</dt>
+<dt id="arg-obs-values">obs_values<a class="anchor" aria-label="anchor" href="#arg-obs-values"></a></dt>
 <dd><p>Observed or template case or death values
 '</p></dd>
 
@@ -79,7 +74,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 using a negative binomial formula.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -88,14 +83,14 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
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diff --git a/reference/create_input_data.html b/reference/create_input_data.html
index f3d6038..4d45c36 100644
--- a/reference/create_input_data.html
+++ b/reference/create_input_data.html
@@ -1,54 +1,47 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Creates input data set in correct format for use by other functions"><title>create_input_data — create_input_data • YEP</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="create_input_data — create_input_data"><meta property="og:description" content="Creates input data set in correct format for use by other functions"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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     <a class="navbar-brand me-2" href="../index.html">YEP</a>
 
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+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
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+    <li><a class="dropdown-item" href="../articles/BWorkedExampleCEpiDatasetGenerate.html">Worked Example 3 - Generating Epidemiological Data Sets</a></li>
+    <li><a class="dropdown-item" href="../articles/BWorkedExampleDMCMC.html">Worked Example 4 - Parameter Estimation Using Markov Chain Monte Carlo Functions</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideAInputs.html">Guide 1 - Inputs</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideBParametersEnvironment.html">Guide 2 - Calculating Parameters From Environmental Data</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideCModelResultsProcess.html">Guide 3 - Processing Model Results</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideDEpiDataGenerate.html">Guide 4 - Generating Epidemiological Data From Model Output</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideELikelihood.html">Guide 5 - Calculating Likelihood Of Observed Data</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
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 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>create_input_data</h1>
-      
+
+      <h1>create_input_data</h1>
+
       <div class="d-none name"><code>create_input_data.Rd</code></div>
     </div>
 
@@ -68,21 +61,23 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>vacc_data</dt>
+
+
+<dl><dt id="arg-vacc-data">vacc_data<a class="anchor" aria-label="anchor" href="#arg-vacc-data"></a></dt>
 <dd><p>Data frame containing vaccination coverage data with region in column 1, year in column 2 and
 coverage values by age in remaining columns</p></dd>
 
 
-<dt>pop_data</dt>
+<dt id="arg-pop-data">pop_data<a class="anchor" aria-label="anchor" href="#arg-pop-data"></a></dt>
 <dd><p>Data frame containing population data with region in column 1, year in column 2 and
 population values by age in remaining columns</p></dd>
 
 
-<dt>regions</dt>
+<dt id="arg-regions">regions<a class="anchor" aria-label="anchor" href="#arg-regions"></a></dt>
 <dd><p>Vector of regions for which to extract data from vacc_data and pop_data (in alphabetical order)</p></dd>
 
 
-<dt>years</dt>
+<dt id="arg-years">years<a class="anchor" aria-label="anchor" href="#arg-years"></a></dt>
 <dd><p>Vector of years for which to extract data from vacc_data and pop_data
 '</p></dd>
 
@@ -95,7 +90,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
   region names, years and age groups, 3-dimensional arrays of vaccination and population data).</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -104,14 +99,14 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
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diff --git a/reference/create_param_labels.html b/reference/create_param_labels.html
index 1bb5215..12004ff 100644
--- a/reference/create_param_labels.html
+++ b/reference/create_param_labels.html
@@ -1,54 +1,47 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Apply names to the parameters in a set used for data matching and parameter fitting"><title>create_param_labels — create_param_labels • YEP</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="create_param_labels — create_param_labels"><meta property="og:description" content="Apply names to the parameters in a set used for data matching and parameter fitting"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-      <img src="" class="logo" alt=""><h1>create_param_labels</h1>
-      
+
+      <h1>create_param_labels</h1>
+
       <div class="d-none name"><code>create_param_labels.Rd</code></div>
     </div>
 
@@ -63,11 +56,13 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>enviro_data</dt>
+
+
+<dl><dt id="arg-enviro-data">enviro_data<a class="anchor" aria-label="anchor" href="#arg-enviro-data"></a></dt>
 <dd><p>Environmental data frame, containing only relevant environmental covariate values for regions of interest</p></dd>
 
 
-<dt>extra_estimated_params</dt>
+<dt id="arg-extra-estimated-params">extra_estimated_params<a class="anchor" aria-label="anchor" href="#arg-extra-estimated-params"></a></dt>
 <dd><p>Vector of strings listing variable parameters besides ones determining FOI/R0 (may include
 vaccine efficacy and/or infection/death reporting probabilities and/or Brazil FOI adjustment factor)</p></dd>
 
@@ -78,7 +73,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 and reporting probabilities) and generates list of names for parameter set to use as input for fitting functions</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -87,14 +82,14 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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index 6f69165..5ec650b 100644
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@@ -1,54 +1,47 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Function to estimate notional FOI for herd immunity based on R0 and population age distribution"><title>imm_fraction_function — imm_fraction_function • YEP</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="imm_fraction_function — imm_fraction_function"><meta property="og:description" content="Function to estimate notional FOI for herd immunity based on R0 and population age distribution"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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+    <li><a class="dropdown-item" href="../articles/BWorkedExampleDMCMC.html">Worked Example 4 - Parameter Estimation Using Markov Chain Monte Carlo Functions</a></li>
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+    <li><a class="dropdown-item" href="../articles/CGuideELikelihood.html">Guide 5 - Calculating Likelihood Of Observed Data</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
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 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>imm_fraction_function</h1>
-      
+
+      <h1>imm_fraction_function</h1>
+
       <div class="d-none name"><code>imm_fraction_function.Rd</code></div>
     </div>
 
@@ -68,19 +61,21 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>log_lambda</dt>
+
+
+<dl><dt id="arg-log-lambda">log_lambda<a class="anchor" aria-label="anchor" href="#arg-log-lambda"></a></dt>
 <dd><p>Natural logarithm of force of infection</p></dd>
 
 
-<dt>R0</dt>
+<dt id="arg-r-">R0<a class="anchor" aria-label="anchor" href="#arg-r-"></a></dt>
 <dd><p>Basic reproduction number</p></dd>
 
 
-<dt>ages</dt>
+<dt id="arg-ages">ages<a class="anchor" aria-label="anchor" href="#arg-ages"></a></dt>
 <dd><p>List of age values</p></dd>
 
 
-<dt>pop_fraction</dt>
+<dt id="arg-pop-fraction">pop_fraction<a class="anchor" aria-label="anchor" href="#arg-pop-fraction"></a></dt>
 <dd><p>Population of each age group as proportion of total
 '</p></dd>
 
@@ -90,7 +85,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
     <p>[TBA]</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -99,14 +94,14 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
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diff --git a/reference/index.html b/reference/index.html
index df20ddc..9bd0cc8 100644
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@@ -1,184 +1,201 @@
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-      <img src="" class="logo" alt=""><h1>Function reference</h1>
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+          <code><a href="Generate_Dataset.html">Generate_Dataset()</a></code>
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         </dt>
         <dd>Generate_Dataset</dd>
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-          
-          <code><a href="MCMC.html">MCMC()</a></code> 
+
+          <code><a href="MCMC.html">MCMC()</a></code>
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         <dd>MCMC</dd>
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-          <code><a href="Model_Run.html">Model_Run()</a></code> 
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+          <code><a href="Model_Run.html">Model_Run()</a></code>
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         <dd>Model_Run</dd>
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-          <code><a href="Model_Run_Many_Reps.html">Model_Run_Many_Reps()</a></code> 
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+          <code><a href="Model_Run_Many_Reps.html">Model_Run_Many_Reps()</a></code>
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+          <code><a href="case_data_calculate.html">case_data_calculate()</a></code>
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         </dt>
         <dd>case_data_calculate</dd>
       </dl><dl><dt>
-          
-          <code><a href="case_data_calculate_multi.html">case_data_calculate_multi()</a></code> 
+
+          <code><a href="case_data_calculate_multi.html">case_data_calculate_multi()</a></code>
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         </dt>
         <dd>case_data_calculate_multi</dd>
       </dl><dl><dt>
-          
-          <code><a href="case_data_compare.html">case_data_compare()</a></code> 
+
+          <code><a href="case_data_compare.html">case_data_compare()</a></code>
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         </dt>
         <dd>case_data_compare</dd>
       </dl><dl><dt>
-          
-          <code><a href="create_input_data.html">create_input_data()</a></code> 
+
+          <code><a href="create_input_data.html">create_input_data()</a></code>
+
         </dt>
         <dd>create_input_data</dd>
       </dl><dl><dt>
-          
-          <code><a href="create_param_labels.html">create_param_labels()</a></code> 
+
+          <code><a href="create_param_labels.html">create_param_labels()</a></code>
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         </dt>
         <dd>create_param_labels</dd>
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+          <code><a href="imm_fraction_function.html">imm_fraction_function()</a></code>
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         <dd>imm_fraction_function</dd>
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-          <code><a href="input_data_check.html">input_data_check()</a></code> 
+
+          <code><a href="input_data_check.html">input_data_check()</a></code>
+
         </dt>
         <dd>input_data_check</dd>
       </dl><dl><dt>
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-          <code><a href="input_data_process.html">input_data_process()</a></code> 
+
+          <code><a href="input_data_process.html">input_data_process()</a></code>
+
         </dt>
         <dd>input_data_process</dd>
       </dl><dl><dt>
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-          <code><a href="input_data_truncate.html">input_data_truncate()</a></code> 
+
+          <code><a href="input_data_truncate.html">input_data_truncate()</a></code>
+
         </dt>
         <dd>input_data_truncate</dd>
       </dl><dl><dt>
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-          <code><a href="mcmc_checks.html">mcmc_checks()</a></code> 
+
+          <code><a href="mcmc_checks.html">mcmc_checks()</a></code>
+
         </dt>
         <dd>mcmc_checks</dd>
       </dl><dl><dt>
-          
-          <code><a href="mcmc_prelim_fit.html">mcmc_prelim_fit()</a></code> 
+
+          <code><a href="mcmc_prelim_fit.html">mcmc_prelim_fit()</a></code>
+
         </dt>
         <dd>mcmc_prelim_fit</dd>
       </dl><dl><dt>
-          
-          <code><a href="param_calc_enviro.html">param_calc_enviro()</a></code> 
+
+          <code><a href="param_calc_enviro.html">param_calc_enviro()</a></code>
+
         </dt>
         <dd>param_calc_enviro</dd>
       </dl><dl><dt>
-          
-          <code><a href="param_prop_setup.html">param_prop_setup()</a></code> 
+
+          <code><a href="param_prop_setup.html">param_prop_setup()</a></code>
+
         </dt>
         <dd>param_prop_setup</dd>
       </dl><dl><dt>
-          
-          <code><a href="parameter_setup.html">parameter_setup()</a></code> 
+
+          <code><a href="parameter_setup.html">parameter_setup()</a></code>
+
         </dt>
         <dd>Parameter setup</dd>
       </dl><dl><dt>
-          
-          <code><a href="regions_breakdown.html">regions_breakdown()</a></code> 
+
+          <code><a href="regions_breakdown.html">regions_breakdown()</a></code>
+
         </dt>
         <dd>regions_breakdown</dd>
       </dl><dl><dt>
-          
-          <code><a href="sero_calculate.html">sero_calculate()</a></code> 
+
+          <code><a href="sero_calculate.html">sero_calculate()</a></code>
+
         </dt>
         <dd>sero_calculate</dd>
       </dl><dl><dt>
-          
-          <code><a href="sero_calculate2.html">sero_calculate2()</a></code> 
+
+          <code><a href="sero_calculate2.html">sero_calculate2()</a></code>
+
         </dt>
         <dd>sero_calculate2</dd>
       </dl><dl><dt>
-          
-          <code><a href="sero_data_compare.html">sero_data_compare()</a></code> 
+
+          <code><a href="sero_data_compare.html">sero_data_compare()</a></code>
+
         </dt>
         <dd>sero_data_compare</dd>
       </dl><dl><dt>
-          
-          <code><a href="single_posterior_calc.html">single_posterior_calc()</a></code> 
+
+          <code><a href="single_posterior_calc.html">single_posterior_calc()</a></code>
+
         </dt>
         <dd>single_posterior_calc</dd>
       </dl><dl><dt>
-          
-          <code><a href="template_region_xref.html">template_region_xref()</a></code> 
+
+          <code><a href="template_region_xref.html">template_region_xref()</a></code>
+
         </dt>
         <dd>template_region_xref</dd>
       </dl></div>
@@ -190,14 +207,14 @@ <h2 id="all-functions">All functions<a class="anchor" aria-label="anchor" href="
 </div>
 
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diff --git a/reference/input_data_check.html b/reference/input_data_check.html
index 95ecad3..fff3d4c 100644
--- a/reference/input_data_check.html
+++ b/reference/input_data_check.html
@@ -1,54 +1,47 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Check that input data is correctly formatted"><title>input_data_check — input_data_check • YEP</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="input_data_check — input_data_check"><meta property="og:description" content="Check that input data is correctly formatted"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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+    <li><a class="dropdown-item" href="../articles/BWorkedExampleAModelRun.html">Worked Example 1 - Single Model Run</a></li>
+    <li><a class="dropdown-item" href="../articles/BWorkedExampleBOutbreakRiskCalculation.html">Worked Example 2 - Outbreak Risk Calculation</a></li>
+    <li><a class="dropdown-item" href="../articles/BWorkedExampleCEpiDatasetGenerate.html">Worked Example 3 - Generating Epidemiological Data Sets</a></li>
+    <li><a class="dropdown-item" href="../articles/BWorkedExampleDMCMC.html">Worked Example 4 - Parameter Estimation Using Markov Chain Monte Carlo Functions</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideAInputs.html">Guide 1 - Inputs</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideBParametersEnvironment.html">Guide 2 - Calculating Parameters From Environmental Data</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideCModelResultsProcess.html">Guide 3 - Processing Model Results</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideDEpiDataGenerate.html">Guide 4 - Generating Epidemiological Data From Model Output</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideELikelihood.html">Guide 5 - Calculating Likelihood Of Observed Data</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+      </ul></div>
 
-      <ul class="navbar-nav"></ul></div>
 
-    
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>input_data_check</h1>
-      
+
+      <h1>input_data_check</h1>
+
       <div class="d-none name"><code>input_data_check.Rd</code></div>
     </div>
 
@@ -63,7 +56,9 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>input_data</dt>
+
+
+<dl><dt id="arg-input-data">input_data<a class="anchor" aria-label="anchor" href="#arg-input-data"></a></dt>
 <dd><p>List of population and vaccination data for multiple regions</p></dd>
 
 </dl></div>
@@ -73,7 +68,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
   formatted, including containing all necessary elements and having years and ages in sequence</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -82,14 +77,14 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
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diff --git a/reference/input_data_process.html b/reference/input_data_process.html
index 27d1cbd..d22c477 100644
--- a/reference/input_data_process.html
+++ b/reference/input_data_process.html
@@ -1,54 +1,47 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Cross-reference input data with serological and/or annual case/death data for comparison"><title>input_data_process — input_data_process • YEP</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="input_data_process — input_data_process"><meta property="og:description" content="Cross-reference input data with serological and/or annual case/death data for comparison"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>input_data_process — input_data_process • YEP</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="input_data_process — input_data_process"><meta name="description" content="Cross-reference input data with serological and/or annual case/death data for comparison"><meta property="og:description" content="Cross-reference input data with serological and/or annual case/death data for comparison"></head><body>
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+
     <a class="navbar-brand me-2" href="../index.html">YEP</a>
 
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-  <a class="nav-link" href="../reference/index.html">Reference</a>
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+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
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+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
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+    <li><a class="dropdown-item" href="../articles/BWorkedExampleAModelRun.html">Worked Example 1 - Single Model Run</a></li>
+    <li><a class="dropdown-item" href="../articles/BWorkedExampleBOutbreakRiskCalculation.html">Worked Example 2 - Outbreak Risk Calculation</a></li>
+    <li><a class="dropdown-item" href="../articles/BWorkedExampleCEpiDatasetGenerate.html">Worked Example 3 - Generating Epidemiological Data Sets</a></li>
+    <li><a class="dropdown-item" href="../articles/BWorkedExampleDMCMC.html">Worked Example 4 - Parameter Estimation Using Markov Chain Monte Carlo Functions</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideAInputs.html">Guide 1 - Inputs</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideBParametersEnvironment.html">Guide 2 - Calculating Parameters From Environmental Data</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideCModelResultsProcess.html">Guide 3 - Processing Model Results</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideDEpiDataGenerate.html">Guide 4 - Generating Epidemiological Data From Model Output</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideELikelihood.html">Guide 5 - Calculating Likelihood Of Observed Data</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+      </ul></div>
 
-      <ul class="navbar-nav"></ul></div>
 
-    
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>input_data_process</h1>
-      
+
+      <h1>input_data_process</h1>
+
       <div class="d-none name"><code>input_data_process.Rd</code></div>
     </div>
 
@@ -67,17 +60,19 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>input_data</dt>
+
+
+<dl><dt id="arg-input-data">input_data<a class="anchor" aria-label="anchor" href="#arg-input-data"></a></dt>
 <dd><p>List of population and vaccination data for multiple regions (created using create_input_data()
 function and usually loaded from an RDS file)</p></dd>
 
 
-<dt>obs_sero_data</dt>
+<dt id="arg-obs-sero-data">obs_sero_data<a class="anchor" aria-label="anchor" href="#arg-obs-sero-data"></a></dt>
 <dd><p>Seroprevalence data for comparison, by region, year &amp; age group, in format no. samples/no.
 positives</p></dd>
 
 
-<dt>obs_case_data</dt>
+<dt id="arg-obs-case-data">obs_case_data<a class="anchor" aria-label="anchor" href="#arg-obs-case-data"></a></dt>
 <dd><p>Annual reported case/death data for comparison, by region and year, in format no. cases/no.
 deaths</p></dd>
 
@@ -89,7 +84,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
   cross-referencing it with seroprevalence and/or case data and adding connection information.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -98,14 +93,14 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/input_data_truncate.html b/reference/input_data_truncate.html
index f7b0a06..106c1e0 100644
--- a/reference/input_data_truncate.html
+++ b/reference/input_data_truncate.html
@@ -1,54 +1,47 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Truncate input data list for shorter set of regions and/or years"><title>input_data_truncate — input_data_truncate • YEP</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="input_data_truncate — input_data_truncate"><meta property="og:description" content="Truncate input data list for shorter set of regions and/or years"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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+    <li><a class="dropdown-item" href="../articles/BWorkedExampleAModelRun.html">Worked Example 1 - Single Model Run</a></li>
+    <li><a class="dropdown-item" href="../articles/BWorkedExampleBOutbreakRiskCalculation.html">Worked Example 2 - Outbreak Risk Calculation</a></li>
+    <li><a class="dropdown-item" href="../articles/BWorkedExampleCEpiDatasetGenerate.html">Worked Example 3 - Generating Epidemiological Data Sets</a></li>
+    <li><a class="dropdown-item" href="../articles/BWorkedExampleDMCMC.html">Worked Example 4 - Parameter Estimation Using Markov Chain Monte Carlo Functions</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideAInputs.html">Guide 1 - Inputs</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideBParametersEnvironment.html">Guide 2 - Calculating Parameters From Environmental Data</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideCModelResultsProcess.html">Guide 3 - Processing Model Results</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideDEpiDataGenerate.html">Guide 4 - Generating Epidemiological Data From Model Output</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideELikelihood.html">Guide 5 - Calculating Likelihood Of Observed Data</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
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 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>input_data_truncate</h1>
-      
+
+      <h1>input_data_truncate</h1>
+
       <div class="d-none name"><code>input_data_truncate.Rd</code></div>
     </div>
 
@@ -63,16 +56,18 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>input_data</dt>
+
+
+<dl><dt id="arg-input-data">input_data<a class="anchor" aria-label="anchor" href="#arg-input-data"></a></dt>
 <dd><p>List of population and vaccination data for multiple regions (created using create_input_data()
 function and usually loaded from an RDS file)</p></dd>
 
 
-<dt>regions_new</dt>
+<dt id="arg-regions-new">regions_new<a class="anchor" aria-label="anchor" href="#arg-regions-new"></a></dt>
 <dd><p>Vector of regions (subset of input_data$region_labels)</p></dd>
 
 
-<dt>years_new</dt>
+<dt id="arg-years-new">years_new<a class="anchor" aria-label="anchor" href="#arg-years-new"></a></dt>
 <dd><p>Vector of years (subset of input_data$years_labels)</p></dd>
 
 </dl></div>
@@ -81,7 +76,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
     <p>TBA</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -90,14 +85,14 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
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diff --git a/reference/mcmc_checks.html b/reference/mcmc_checks.html
index affc5bf..c3c5c67 100644
--- a/reference/mcmc_checks.html
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@@ -1,54 +1,47 @@
 <!DOCTYPE html>
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+    <li><a class="dropdown-item" href="../articles/BWorkedExampleDMCMC.html">Worked Example 4 - Parameter Estimation Using Markov Chain Monte Carlo Functions</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideAInputs.html">Guide 1 - Inputs</a></li>
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+    <li><a class="dropdown-item" href="../articles/CGuideCModelResultsProcess.html">Guide 3 - Processing Model Results</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideDEpiDataGenerate.html">Guide 4 - Generating Epidemiological Data From Model Output</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideELikelihood.html">Guide 5 - Calculating Likelihood Of Observed Data</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
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 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>mcmc_checks</h1>
-      
+
+      <h1>mcmc_checks</h1>
+
       <div class="d-none name"><code>mcmc_checks.Rd</code></div>
     </div>
 
@@ -71,24 +64,26 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>log_params_ini</dt>
+
+
+<dl><dt id="arg-log-params-ini">log_params_ini<a class="anchor" aria-label="anchor" href="#arg-log-params-ini"></a></dt>
 <dd><p>Initial values of parameters to be estimated (natural logarithm of actual parameters; see
 documentation for MCMC() function for more details)</p></dd>
 
 
-<dt>n_regions</dt>
+<dt id="arg-n-regions">n_regions<a class="anchor" aria-label="anchor" href="#arg-n-regions"></a></dt>
 <dd><p>Number of regions</p></dd>
 
 
-<dt>prior_settings</dt>
+<dt id="arg-prior-settings">prior_settings<a class="anchor" aria-label="anchor" href="#arg-prior-settings"></a></dt>
 <dd><p>List containing settings for priors; see documentation for MCMC() function for more details)</p></dd>
 
 
-<dt>enviro_data</dt>
+<dt id="arg-enviro-data">enviro_data<a class="anchor" aria-label="anchor" href="#arg-enviro-data"></a></dt>
 <dd><p>Data frame of values of environmental covariates (columns) by region (rows)</p></dd>
 
 
-<dt>add_values</dt>
+<dt id="arg-add-values">add_values<a class="anchor" aria-label="anchor" href="#arg-add-values"></a></dt>
 <dd><p>List of parameters in addition to those governing FOI/R0, either giving a fixed value or giving NA to
  indicate that they are part of the parameter set to be estimated <br>
 vaccine_efficacy Vaccine efficacy (proportion of reported vaccinations causing immunity) (must be present) <br>
@@ -97,7 +92,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 m_FOI_Brazil Multiplier of spillover FOI for Brazil regions (only relevant if regions in Brazil to be considered) <br></p></dd>
 
 
-<dt>extra_estimated_params</dt>
+<dt id="arg-extra-estimated-params">extra_estimated_params<a class="anchor" aria-label="anchor" href="#arg-extra-estimated-params"></a></dt>
 <dd><p>Vector of names of parameters to be estimated in addition to those governing FOI and R0; see add_values</p></dd>
 
 </dl></div>
@@ -108,7 +103,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 settings and that certain values are not outwith sensible boundaries (e.g. probabilities must be between 0 and 1).</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -117,14 +112,14 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
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diff --git a/reference/mcmc_prelim_fit.html b/reference/mcmc_prelim_fit.html
index ba37b8f..006f20d 100644
--- a/reference/mcmc_prelim_fit.html
+++ b/reference/mcmc_prelim_fit.html
@@ -1,56 +1,49 @@
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-      <img src="" class="logo" alt=""><h1>mcmc_prelim_fit</h1>
-      
+
+      <h1>mcmc_prelim_fit</h1>
+
       <div class="d-none name"><code>mcmc_prelim_fit.Rd</code></div>
     </div>
 
@@ -87,50 +80,52 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>n_iterations</dt>
+
+
+<dl><dt id="arg-n-iterations">n_iterations<a class="anchor" aria-label="anchor" href="#arg-n-iterations"></a></dt>
 <dd><p>= Number of times to run and adjust maximum/minimum</p></dd>
 
 
-<dt>n_param_sets</dt>
+<dt id="arg-n-param-sets">n_param_sets<a class="anchor" aria-label="anchor" href="#arg-n-param-sets"></a></dt>
 <dd><p>= Number of parameter sets to run in each iteration</p></dd>
 
 
-<dt>n_bounds</dt>
+<dt id="arg-n-bounds">n_bounds<a class="anchor" aria-label="anchor" href="#arg-n-bounds"></a></dt>
 <dd><p>= Number of parameter sets (with highest likelihood values) to take at each iteration to create new
 maximum/minimum values</p></dd>
 
 
-<dt>log_params_min</dt>
+<dt id="arg-log-params-min">log_params_min<a class="anchor" aria-label="anchor" href="#arg-log-params-min"></a></dt>
 <dd><p>Initial lower limits of estimated parameter values (natural logarithm of actual limits)</p></dd>
 
 
-<dt>log_params_max</dt>
+<dt id="arg-log-params-max">log_params_max<a class="anchor" aria-label="anchor" href="#arg-log-params-max"></a></dt>
 <dd><p>Initial upper limits of estimated parameter values (natural logarithm of actual limits)</p></dd>
 
 
-<dt>input_data</dt>
+<dt id="arg-input-data">input_data<a class="anchor" aria-label="anchor" href="#arg-input-data"></a></dt>
 <dd><p>List of population and vaccination data for multiple regions (created using data input creation
 code and usually loaded from RDS file)</p></dd>
 
 
-<dt>obs_sero_data</dt>
+<dt id="arg-obs-sero-data">obs_sero_data<a class="anchor" aria-label="anchor" href="#arg-obs-sero-data"></a></dt>
 <dd><p>Seroprevalence data for comparison, by region, year &amp; age group, in format no. samples/no.
 positives</p></dd>
 
 
-<dt>obs_case_data</dt>
+<dt id="arg-obs-case-data">obs_case_data<a class="anchor" aria-label="anchor" href="#arg-obs-case-data"></a></dt>
 <dd><p>Annual reported case/death data for comparison, by region and year, in format no. cases/no.
 deaths</p></dd>
 
 
-<dt>mode_start</dt>
+<dt id="arg-mode-start">mode_start<a class="anchor" aria-label="anchor" href="#arg-mode-start"></a></dt>
 <dd><p>Flag indicating how to set initial population immunity level in addition to vaccination <br>
 If mode_start = 0, only vaccinated individuals <br>
 If mode_start = 1, shift some non-vaccinated individuals into recovered to give herd immunity (uniform by age, R0 based only) <br>
 If mode_start = 3, shift some non-vaccinated individuals into recovered to give herd immunity (stratified by age) <br></p></dd>
 
 
-<dt>prior_settings</dt>
+<dt id="arg-prior-settings">prior_settings<a class="anchor" aria-label="anchor" href="#arg-prior-settings"></a></dt>
 <dd><p>List containing settings for priors: must contain text named "type":
 If type = "zero", prior probability is always zero <br>
 If type = "norm", prior probability is given by dnorm calculation on parameter values with settings based on vectors of values
@@ -141,27 +136,27 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
  + R0_mean + R0_sd (mean + standard deviation of computed R0, single values) <br></p></dd>
 
 
-<dt>dt</dt>
+<dt id="arg-dt">dt<a class="anchor" aria-label="anchor" href="#arg-dt"></a></dt>
 <dd><p>time increment in days (must be 1 or 5)</p></dd>
 
 
-<dt>n_reps</dt>
+<dt id="arg-n-reps">n_reps<a class="anchor" aria-label="anchor" href="#arg-n-reps"></a></dt>
 <dd><p>Number of repetitions</p></dd>
 
 
-<dt>enviro_data</dt>
+<dt id="arg-enviro-data">enviro_data<a class="anchor" aria-label="anchor" href="#arg-enviro-data"></a></dt>
 <dd><p>Data frame of values of environmental covariates (columns) by region (rows)</p></dd>
 
 
-<dt>p_severe_inf</dt>
+<dt id="arg-p-severe-inf">p_severe_inf<a class="anchor" aria-label="anchor" href="#arg-p-severe-inf"></a></dt>
 <dd><p>Probability of an infection being severe</p></dd>
 
 
-<dt>p_death_severe_inf</dt>
+<dt id="arg-p-death-severe-inf">p_death_severe_inf<a class="anchor" aria-label="anchor" href="#arg-p-death-severe-inf"></a></dt>
 <dd><p>Probability of a severe infection resulting in death</p></dd>
 
 
-<dt>add_values</dt>
+<dt id="arg-add-values">add_values<a class="anchor" aria-label="anchor" href="#arg-add-values"></a></dt>
 <dd><p>List of parameters in addition to those governing FOI/R0, either giving a fixed value or giving NA to
  indicate that they are part of the fitted  parameter set <br>
 vaccine_efficacy Vaccine efficacy (proportion of reported vaccinations causing immunity) (must be present) <br>
@@ -170,15 +165,15 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 m_FOI_Brazil Multiplier of spillover FOI for Brazil regions (only relevant if regions in Brazil to be considered)</p></dd>
 
 
-<dt>deterministic</dt>
+<dt id="arg-deterministic">deterministic<a class="anchor" aria-label="anchor" href="#arg-deterministic"></a></dt>
 <dd><p>TRUE/FALSE - set model to run in deterministic mode if TRUE</p></dd>
 
 
-<dt>mode_parallel</dt>
+<dt id="arg-mode-parallel">mode_parallel<a class="anchor" aria-label="anchor" href="#arg-mode-parallel"></a></dt>
 <dd><p>TRUE/FALSE - indicate whether to use parallel processing on supplied cluster for speed</p></dd>
 
 
-<dt>cluster</dt>
+<dt id="arg-cluster">cluster<a class="anchor" aria-label="anchor" href="#arg-cluster"></a></dt>
 <dd><p>Cluster of threads to use if mode_parallel = TRUE
 '</p></dd>
 
@@ -190,7 +185,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 the mcmc() function).</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -199,14 +194,14 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
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diff --git a/reference/param_calc_enviro.html b/reference/param_calc_enviro.html
index 4608409..a0e7dca 100644
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+++ b/reference/param_calc_enviro.html
@@ -1,54 +1,47 @@
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-      <img src="" class="logo" alt=""><h1>param_calc_enviro</h1>
-      
+
+      <h1>param_calc_enviro</h1>
+
       <div class="d-none name"><code>param_calc_enviro.Rd</code></div>
     </div>
 
@@ -63,11 +56,13 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>enviro_coeffs</dt>
+
+
+<dl><dt id="arg-enviro-coeffs">enviro_coeffs<a class="anchor" aria-label="anchor" href="#arg-enviro-coeffs"></a></dt>
 <dd><p>Values of environmental coefficients</p></dd>
 
 
-<dt>enviro_covar_values</dt>
+<dt id="arg-enviro-covar-values">enviro_covar_values<a class="anchor" aria-label="anchor" href="#arg-enviro-covar-values"></a></dt>
 <dd><p>Values of environmental covariates
 '</p></dd>
 
@@ -78,7 +73,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
   spillover force of infection and reproduction number.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
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@@ -87,14 +82,14 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
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@@ -1,54 +1,47 @@
 <!DOCTYPE html>
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-      <img src="" class="logo" alt=""><h1>param_prop_setup</h1>
-      
+
+      <h1>param_prop_setup</h1>
+
       <div class="d-none name"><code>param_prop_setup.Rd</code></div>
     </div>
 
@@ -63,15 +56,17 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>log_params</dt>
+
+
+<dl><dt id="arg-log-params">log_params<a class="anchor" aria-label="anchor" href="#arg-log-params"></a></dt>
 <dd><p>Previous log parameter values used as input</p></dd>
 
 
-<dt>chain_cov</dt>
+<dt id="arg-chain-cov">chain_cov<a class="anchor" aria-label="anchor" href="#arg-chain-cov"></a></dt>
 <dd><p>Covariance calculated from previous iterations in chain</p></dd>
 
 
-<dt>adapt</dt>
+<dt id="arg-adapt">adapt<a class="anchor" aria-label="anchor" href="#arg-adapt"></a></dt>
 <dd><p>0/1 flag indicating which type of covariance to use for proposition value (TBA)
 '</p></dd>
 
@@ -83,7 +78,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 based on the chain covariance or (if the flag "adapt" is set to 1) a flat value based on the number of parameters.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
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diff --git a/reference/parameter_setup.html b/reference/parameter_setup.html
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-      <img src="" class="logo" alt=""><h1>Parameter setup</h1>
-      
+
+      <h1>Parameter setup</h1>
+
       <div class="d-none name"><code>parameter_setup.Rd</code></div>
     </div>
 
@@ -74,31 +67,33 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>FOI_spillover</dt>
+
+
+<dl><dt id="arg-foi-spillover">FOI_spillover<a class="anchor" aria-label="anchor" href="#arg-foi-spillover"></a></dt>
 <dd><p>Force of infection due to spillover from sylvatic reservoir</p></dd>
 
 
-<dt>R0</dt>
+<dt id="arg-r-">R0<a class="anchor" aria-label="anchor" href="#arg-r-"></a></dt>
 <dd><p>Reproduction number for urban spread of infection</p></dd>
 
 
-<dt>vacc_data</dt>
+<dt id="arg-vacc-data">vacc_data<a class="anchor" aria-label="anchor" href="#arg-vacc-data"></a></dt>
 <dd><p>Projected vaccination-based immunity (assuming vaccine_efficacy = 1) by age group and year</p></dd>
 
 
-<dt>pop_data</dt>
+<dt id="arg-pop-data">pop_data<a class="anchor" aria-label="anchor" href="#arg-pop-data"></a></dt>
 <dd><p>Population by age group and year</p></dd>
 
 
-<dt>year0</dt>
+<dt id="arg-year-">year0<a class="anchor" aria-label="anchor" href="#arg-year-"></a></dt>
 <dd><p>First year in population/vaccination data</p></dd>
 
 
-<dt>years_data</dt>
+<dt id="arg-years-data">years_data<a class="anchor" aria-label="anchor" href="#arg-years-data"></a></dt>
 <dd><p>Incremental vector of years denoting years for which to save data</p></dd>
 
 
-<dt>mode_start</dt>
+<dt id="arg-mode-start">mode_start<a class="anchor" aria-label="anchor" href="#arg-mode-start"></a></dt>
 <dd><p>Flag indicating how to set initial population immunity level in addition to vaccination
 If mode_start = 0, only vaccinated individuals
 If mode_start = 1, shift some non-vaccinated individuals into recovered to give herd immunity (uniform by age, R0 based only)
@@ -106,15 +101,15 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 If mode_start = 3, shift some non-vaccinated individuals into recovered to give herd immunity (stratified by age)</p></dd>
 
 
-<dt>vaccine_efficacy</dt>
+<dt id="arg-vaccine-efficacy">vaccine_efficacy<a class="anchor" aria-label="anchor" href="#arg-vaccine-efficacy"></a></dt>
 <dd><p>Proportional vaccine efficacy</p></dd>
 
 
-<dt>start_SEIRV</dt>
+<dt id="arg-start-seirv">start_SEIRV<a class="anchor" aria-label="anchor" href="#arg-start-seirv"></a></dt>
 <dd><p>SEIRV data from end of a previous run to use as input</p></dd>
 
 
-<dt>dt</dt>
+<dt id="arg-dt">dt<a class="anchor" aria-label="anchor" href="#arg-dt"></a></dt>
 <dd><p>Time increment in days to use in model (should be either 1.0 or 5.0 days)
 '</p></dd>
 
@@ -124,7 +119,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
     <p>Takes in multiple inputs, outputs list for use by odin SEIRV model.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
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@@ -133,14 +128,14 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 </div>
 
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diff --git a/reference/regions_breakdown.html b/reference/regions_breakdown.html
index a92aeb1..3080962 100644
--- a/reference/regions_breakdown.html
+++ b/reference/regions_breakdown.html
@@ -1,54 +1,47 @@
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+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/A1Introduction.html">Introduction</a></li>
+    <li><a class="dropdown-item" href="../articles/A2Installation.html">Installation</a></li>
+    <li><a class="dropdown-item" href="../articles/BWorkedExampleAModelRun.html">Worked Example 1 - Single Model Run</a></li>
+    <li><a class="dropdown-item" href="../articles/BWorkedExampleBOutbreakRiskCalculation.html">Worked Example 2 - Outbreak Risk Calculation</a></li>
+    <li><a class="dropdown-item" href="../articles/BWorkedExampleCEpiDatasetGenerate.html">Worked Example 3 - Generating Epidemiological Data Sets</a></li>
+    <li><a class="dropdown-item" href="../articles/BWorkedExampleDMCMC.html">Worked Example 4 - Parameter Estimation Using Markov Chain Monte Carlo Functions</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideAInputs.html">Guide 1 - Inputs</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideBParametersEnvironment.html">Guide 2 - Calculating Parameters From Environmental Data</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideCModelResultsProcess.html">Guide 3 - Processing Model Results</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideDEpiDataGenerate.html">Guide 4 - Generating Epidemiological Data From Model Output</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideELikelihood.html">Guide 5 - Calculating Likelihood Of Observed Data</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
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 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>regions_breakdown</h1>
-      
+
+      <h1>regions_breakdown</h1>
+
       <div class="d-none name"><code>regions_breakdown.Rd</code></div>
     </div>
 
@@ -63,7 +56,9 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>region_labels</dt>
+
+
+<dl><dt id="arg-region-labels">region_labels<a class="anchor" aria-label="anchor" href="#arg-region-labels"></a></dt>
 <dd><p>Vector of region labels</p></dd>
 
 </dl></div>
@@ -76,7 +71,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
   - c("BRA.1_1","BRA.2_1","BRA.3_1").</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -85,14 +80,14 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
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diff --git a/reference/sero_calculate.html b/reference/sero_calculate.html
index c58eee3..53e9306 100644
--- a/reference/sero_calculate.html
+++ b/reference/sero_calculate.html
@@ -1,56 +1,49 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Calculate seroprevalence in unvaccinated people from modelled data for one or more years and one age
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+range"><meta property="og:description" content="Calculate seroprevalence in unvaccinated people from modelled data for one or more years and one age
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+    <li><a class="dropdown-item" href="../articles/BWorkedExampleCEpiDatasetGenerate.html">Worked Example 3 - Generating Epidemiological Data Sets</a></li>
+    <li><a class="dropdown-item" href="../articles/BWorkedExampleDMCMC.html">Worked Example 4 - Parameter Estimation Using Markov Chain Monte Carlo Functions</a></li>
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+    <li><a class="dropdown-item" href="../articles/CGuideBParametersEnvironment.html">Guide 2 - Calculating Parameters From Environmental Data</a></li>
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+    <li><a class="dropdown-item" href="../articles/CGuideDEpiDataGenerate.html">Guide 4 - Generating Epidemiological Data From Model Output</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideELikelihood.html">Guide 5 - Calculating Likelihood Of Observed Data</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
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 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>sero_calculate</h1>
-      
+
+      <h1>sero_calculate</h1>
+
       <div class="d-none name"><code>sero_calculate.Rd</code></div>
     </div>
 
@@ -73,27 +66,29 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>age_min</dt>
+
+
+<dl><dt id="arg-age-min">age_min<a class="anchor" aria-label="anchor" href="#arg-age-min"></a></dt>
 <dd><p>= Minimum age of age group</p></dd>
 
 
-<dt>age_max</dt>
+<dt id="arg-age-max">age_max<a class="anchor" aria-label="anchor" href="#arg-age-max"></a></dt>
 <dd><p>= Maximum age of age group</p></dd>
 
 
-<dt>years</dt>
+<dt id="arg-years">years<a class="anchor" aria-label="anchor" href="#arg-years"></a></dt>
 <dd><p>= Years for which to calculate average annual seroprevalence</p></dd>
 
 
-<dt>vc_factor</dt>
+<dt id="arg-vc-factor">vc_factor<a class="anchor" aria-label="anchor" href="#arg-vc-factor"></a></dt>
 <dd><p>= Proportion of patients tested for whom vaccine status unknown</p></dd>
 
 
-<dt>data</dt>
+<dt id="arg-data">data<a class="anchor" aria-label="anchor" href="#arg-data"></a></dt>
 <dd><p>= Output of Basic_Model_Run or Full_Model_Run</p></dd>
 
 
-<dt>n_p</dt>
+<dt id="arg-n-p">n_p<a class="anchor" aria-label="anchor" href="#arg-n-p"></a></dt>
 <dd><p>= Particle to select from data
 '</p></dd>
 
@@ -105,7 +100,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 data, and calculates seroprevalence in unvaccinated people in specified age range for specified year(s).</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -114,14 +109,14 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 </div>
 
 <div class="pkgdown-footer-right">
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diff --git a/reference/sero_calculate2.html b/reference/sero_calculate2.html
index f14e4ec..bbbb100 100644
--- a/reference/sero_calculate2.html
+++ b/reference/sero_calculate2.html
@@ -1,56 +1,49 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content='Calculate number of "samples" and number of "positives" from modelled data for specified age range(s)
-and year(s)'><title>sero_calculate2 — sero_calculate2 • YEP</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="sero_calculate2 — sero_calculate2"><meta property="og:description" content='Calculate number of "samples" and number of "positives" from modelled data for specified age range(s)
-and year(s)'><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>sero_calculate2 — sero_calculate2 • YEP</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="sero_calculate2 — sero_calculate2"><meta name="description" content='Calculate number of "samples" and number of "positives" from modelled data for specified age range(s)
+and year(s)'><meta property="og:description" content='Calculate number of "samples" and number of "positives" from modelled data for specified age range(s)
+and year(s)'></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
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+    <li><a class="dropdown-item" href="../articles/BWorkedExampleCEpiDatasetGenerate.html">Worked Example 3 - Generating Epidemiological Data Sets</a></li>
+    <li><a class="dropdown-item" href="../articles/BWorkedExampleDMCMC.html">Worked Example 4 - Parameter Estimation Using Markov Chain Monte Carlo Functions</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideAInputs.html">Guide 1 - Inputs</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideBParametersEnvironment.html">Guide 2 - Calculating Parameters From Environmental Data</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideCModelResultsProcess.html">Guide 3 - Processing Model Results</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideDEpiDataGenerate.html">Guide 4 - Generating Epidemiological Data From Model Output</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideELikelihood.html">Guide 5 - Calculating Likelihood Of Observed Data</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
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   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>sero_calculate2</h1>
-      
+
+      <h1>sero_calculate2</h1>
+
       <div class="d-none name"><code>sero_calculate2.Rd</code></div>
     </div>
 
@@ -66,16 +59,18 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>sero_data</dt>
+
+
+<dl><dt id="arg-sero-data">sero_data<a class="anchor" aria-label="anchor" href="#arg-sero-data"></a></dt>
 <dd><p>Data frame containing years, minimum and maximum ages, and values of vc_factor (proportion of
 people for whom vaccination status unknown)</p></dd>
 
 
-<dt>model_data</dt>
+<dt id="arg-model-data">model_data<a class="anchor" aria-label="anchor" href="#arg-model-data"></a></dt>
 <dd><p>SEIRV output of Model_Run and similar functions</p></dd>
 
 
-<dt>n_p</dt>
+<dt id="arg-n-p">n_p<a class="anchor" aria-label="anchor" href="#arg-n-p"></a></dt>
 <dd><p>Particle to select from model_data
 '</p></dd>
 
@@ -87,7 +82,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 (proportion of people for whom vaccination status unknown)</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -96,14 +91,14 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
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diff --git a/reference/sero_data_compare.html b/reference/sero_data_compare.html
index c55b24c..1a635a3 100644
--- a/reference/sero_data_compare.html
+++ b/reference/sero_data_compare.html
@@ -1,56 +1,49 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Take seroprevalence results from dataset generation functions, compare comparison with
-observed/template seroprevalence data and calculate likelihood"><title>sero_data_compare — sero_data_compare • YEP</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="sero_data_compare — sero_data_compare"><meta property="og:description" content="Take seroprevalence results from dataset generation functions, compare comparison with
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>sero_data_compare — sero_data_compare • YEP</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="sero_data_compare — sero_data_compare"><meta name="description" content="Take seroprevalence results from dataset generation functions, compare comparison with
+observed/template seroprevalence data and calculate likelihood"><meta property="og:description" content="Take seroprevalence results from dataset generation functions, compare comparison with
+observed/template seroprevalence data and calculate likelihood"></head><body>
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+    <li><a class="dropdown-item" href="../articles/BWorkedExampleCEpiDatasetGenerate.html">Worked Example 3 - Generating Epidemiological Data Sets</a></li>
+    <li><a class="dropdown-item" href="../articles/BWorkedExampleDMCMC.html">Worked Example 4 - Parameter Estimation Using Markov Chain Monte Carlo Functions</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideAInputs.html">Guide 1 - Inputs</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideBParametersEnvironment.html">Guide 2 - Calculating Parameters From Environmental Data</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideCModelResultsProcess.html">Guide 3 - Processing Model Results</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideDEpiDataGenerate.html">Guide 4 - Generating Epidemiological Data From Model Output</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideELikelihood.html">Guide 5 - Calculating Likelihood Of Observed Data</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+      </ul></div>
 
-      <ul class="navbar-nav"></ul></div>
 
-    
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>sero_data_compare</h1>
-      
+
+      <h1>sero_data_compare</h1>
+
       <div class="d-none name"><code>sero_data_compare.Rd</code></div>
     </div>
 
@@ -66,11 +59,13 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>model_sero_values</dt>
+
+
+<dl><dt id="arg-model-sero-values">model_sero_values<a class="anchor" aria-label="anchor" href="#arg-model-sero-values"></a></dt>
 <dd><p>Seroprevalence values from dataset generation function (no. positives/no. samples)</p></dd>
 
 
-<dt>obs_sero_data</dt>
+<dt id="arg-obs-sero-data">obs_sero_data<a class="anchor" aria-label="anchor" href="#arg-obs-sero-data"></a></dt>
 <dd><p>Seroprevalence data for comparison, by year and age group, in format
   no. samples/no. positives
 '</p></dd>
@@ -81,7 +76,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
     <p>[TBA]</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -90,14 +85,14 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 </div>
 
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+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
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+
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diff --git a/reference/single_posterior_calc.html b/reference/single_posterior_calc.html
index d2c70bc..b05d1c0 100644
--- a/reference/single_posterior_calc.html
+++ b/reference/single_posterior_calc.html
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-      <img src="" class="logo" alt=""><h1>single_posterior_calc</h1>
-      
+
+      <h1>single_posterior_calc</h1>
+
       <div class="d-none name"><code>single_posterior_calc.Rd</code></div>
     </div>
 
@@ -69,27 +62,29 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>log_params_prop</dt>
+
+
+<dl><dt id="arg-log-params-prop">log_params_prop<a class="anchor" aria-label="anchor" href="#arg-log-params-prop"></a></dt>
 <dd><p>Proposed values of parameters to be estimated (natural logarithm of actual parameters)</p></dd>
 
 
-<dt>input_data</dt>
+<dt id="arg-input-data">input_data<a class="anchor" aria-label="anchor" href="#arg-input-data"></a></dt>
 <dd><p>List of population and vaccination data for multiple regions (created using data input
 creation code and usually loaded from RDS file), with cross-reference tables added using input_data_process
 in MCMC</p></dd>
 
 
-<dt>obs_sero_data</dt>
+<dt id="arg-obs-sero-data">obs_sero_data<a class="anchor" aria-label="anchor" href="#arg-obs-sero-data"></a></dt>
 <dd><p>Seroprevalence data for comparison, by region, year &amp; age group, in format no. samples/no.
 positives</p></dd>
 
 
-<dt>obs_case_data</dt>
+<dt id="arg-obs-case-data">obs_case_data<a class="anchor" aria-label="anchor" href="#arg-obs-case-data"></a></dt>
 <dd><p>Annual reported case/death data for comparison, by region and year, in format no. cases/no.
 deaths</p></dd>
 
 
-<dt>...</dt>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>= Constant parameters/flags/etc. loaded to or determined by mcmc() and mcmc_prelim_fit, including mode_start,
 prior_settings, dt, n_reps, enviro_data, p_severe_inf, p_death_severe_inf, add_values list, extra_estimated_params,
 deterministic, mode_parallel, cluster</p></dd>
@@ -101,7 +96,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 regions and data types) for a given proposed parameter set. [TBA]</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -110,14 +105,14 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
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diff --git a/reference/template_region_xref.html b/reference/template_region_xref.html
index 8c098f8..548eb39 100644
--- a/reference/template_region_xref.html
+++ b/reference/template_region_xref.html
@@ -1,54 +1,47 @@
 <!DOCTYPE html>
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+    <li><a class="dropdown-item" href="../articles/BWorkedExampleDMCMC.html">Worked Example 4 - Parameter Estimation Using Markov Chain Monte Carlo Functions</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideAInputs.html">Guide 1 - Inputs</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideBParametersEnvironment.html">Guide 2 - Calculating Parameters From Environmental Data</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideCModelResultsProcess.html">Guide 3 - Processing Model Results</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideDEpiDataGenerate.html">Guide 4 - Generating Epidemiological Data From Model Output</a></li>
+    <li><a class="dropdown-item" href="../articles/CGuideELikelihood.html">Guide 5 - Calculating Likelihood Of Observed Data</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+      </ul></div>
 
-      <ul class="navbar-nav"></ul></div>
 
-    
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 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>template_region_xref</h1>
-      
+
+      <h1>template_region_xref</h1>
+
       <div class="d-none name"><code>template_region_xref.Rd</code></div>
     </div>
 
@@ -63,11 +56,13 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>template</dt>
+
+
+<dl><dt id="arg-template">template<a class="anchor" aria-label="anchor" href="#arg-template"></a></dt>
 <dd><p>List containing one or more sets of template data (serological data, case data or burden data)</p></dd>
 
 
-<dt>regions</dt>
+<dt id="arg-regions">regions<a class="anchor" aria-label="anchor" href="#arg-regions"></a></dt>
 <dd><p>Vector of individual regions</p></dd>
 
 </dl></div>
@@ -82,7 +77,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
  Generate_Multiple_Datasets. It returns a list containing [TBA].</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -91,14 +86,14 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
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diff --git a/search.json b/search.json
index 3173627..ce46f94 100644
--- a/search.json
+++ b/search.json
@@ -1 +1 @@
-[{"path":"https://mrc-ide.github.io/YEP/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Keith Fraser. Author, maintainer.","code":""},{"path":"https://mrc-ide.github.io/YEP/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Fraser K (2024). YEP: Yellow Fever Epidemic Prediction. R package version 0.2.0, https://mrc-ide.github.io/YEP/.","code":"@Manual{,   title = {YEP: Yellow Fever Epidemic Prediction},   author = {Keith Fraser},   year = {2024},   note = {R package version 0.2.0},   url = {https://mrc-ide.github.io/YEP/}, }"},{"path":"https://mrc-ide.github.io/YEP/index.html","id":"yep---yellow-fever-epidemic-prevention","dir":"","previous_headings":"","what":"Yellow Fever Epidemic Prediction","title":"Yellow Fever Epidemic Prediction","text":"package running dynamic SEIRV model yellow fever, creating input data processing output data. package can also used : -Generate datasets based existing yellow fever epidemiological datasets (annual reported case data seroprevalence survey results). -Estimate values epidemiological parameters model parameters including vaccine efficacy case reporting rates, based epidemiological data yellow fever burden one regions. -Generate yellow fever burden data multiple countries based approach used Vaccine Impact Modelling Consortium. Additional packages use package: YEPaux: Auxiliary functions processing model output parameter estimation results YellowFeverDynamics: Alternate versions basic model additional functions outbreak risk estimation response modelling","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/Generate_Dataset.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate_Dataset — Generate_Dataset","title":"Generate_Dataset — Generate_Dataset","text":"Generate annual serological /case/death data","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/Generate_Dataset.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate_Dataset — Generate_Dataset","text":"","code":"Generate_Dataset(   input_data = list(),   FOI_values = c(),   R0_values = c(),   sero_template = NULL,   case_template = NULL,   vaccine_efficacy = 1,   p_severe_inf = 0.12,   p_death_severe_inf = 0.39,   p_rep_severe = 1,   p_rep_death = 1,   mode_start = 1,   start_SEIRV = NULL,   dt = 1,   n_reps = 1,   deterministic = FALSE,   mode_parallel = FALSE,   cluster = NULL,   output_frame = FALSE )"},{"path":"https://mrc-ide.github.io/YEP/reference/Generate_Dataset.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate_Dataset — Generate_Dataset","text":"input_data List population vaccination data multiple regions standard format [TBA] FOI_values Vector values force infection due spillover sylvatic reservoir R0_values Vector values basic reproduction number human-human transmission sero_template Seroprevalence data template - data frame region, year, minimum/maximum age, vc_factor [TBA] number samples case_template Annual reported case/death data template - data frame region year vaccine_efficacy Fractional vaccine efficacy p_severe_inf Probability infection severe p_death_severe_inf Probability severe infection resulting death p_rep_severe Probability reporting severe non-fatal infection p_rep_death Probability reporting fatal infection mode_start Flag indicating set initial population immunity level addition vaccination  mode_start=0, vaccinated individuals  mode_start=1, shift non-vaccinated individuals recovered give herd immunity (uniform age, R0 based )  mode_start=2, use SEIRV input list previous run(s)  mode_start=3, shift non-vaccinated individuals recovered give herd immunity (stratified age) start_SEIRV SEIRV data end previous run use input (list datasets, one per region) dt Time increment days use model (either 1.0, 2.5 5.0 days) n_reps number stochastic repetitions deterministic TRUE/FALSE - set model run deterministic mode TRUE mode_parallel TRUE/FALSE - set model run parallel using cluster TRUE cluster Cluster threads use mode_parallel=TRUE output_frame TRUE/FALSE - indicate whether output complete data frame results template format (TRUE)   calculated values (FALSE) '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/Generate_Dataset.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Generate_Dataset — Generate_Dataset","text":"function used generate annual serological /case/death data based templates; normally used single_posterior_calc() function. [TBA - Explanation breakdown regions model set lengths FOI_values R0_values]","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/MCMC.html","id":null,"dir":"Reference","previous_headings":"","what":"MCMC — MCMC","title":"MCMC — MCMC","text":"Combined MCMC Multi-Region - series MCMC iterations one regions","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/MCMC.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"MCMC — MCMC","text":"","code":"MCMC(   log_params_ini = c(),   input_data = list(),   obs_sero_data = NULL,   obs_case_data = NULL,   filename_prefix = \"Chain\",   Niter = 1,   mode_start = 0,   prior_settings = list(type = \"zero\"),   dt = 1,   n_reps = 1,   enviro_data = list(),   p_severe_inf = 0.12,   p_death_severe_inf = 0.39,   add_values = list(vaccine_efficacy = 1, p_rep_severe = 1, p_rep_death = 1, m_FOI_Brazil     = 1),   deterministic = FALSE,   mode_parallel = FALSE,   cluster = NULL )"},{"path":"https://mrc-ide.github.io/YEP/reference/MCMC.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"MCMC — MCMC","text":"log_params_ini Initial values parameters estimated. always log() values actual parameters, ordered follows:  1) number environmental coefficients used calculate spillover force infection values environmental covariates equal number environmental covariates listed enviro_data frame. Values order columns environmental data frame.  2) number environmental coefficients used calculate basic reproduction number values environmental covariates equal number environmental covariates listed enviro_data frame. Values order columns environmental data frame.  3) Values additional parameters (reported vaccination effectiveness vaccine_efficacy, severe case reporting probability p_rep_severe, fatal case reporting probability p_rep_death, Brazil spillover FOI multiplier m_FOI_Brazil); estimated, order vaccine_efficacy->p_rep_severe->p_rep_death->m_FOI_Brazil. parameters estimated, values separately supplied function (see add_values ) set NA. input_data List population vaccination data multiple regions (created using data input creation code usually loaded RDS file) obs_sero_data Seroprevalence data comparison, region, year & age group, format . samples/. positives obs_case_data Annual reported case/death data comparison, region year, format . cases/. deaths filename_prefix Prefix names output files; function outputs CSV file every 10,000 iterations name format: \"(filename_prefix)XX.csv\", e.g. Chain00.csv Niter Total number iterations run mode_start Flag indicating set initial population immunity level addition vaccination  mode_start = 0, vaccinated individuals  mode_start = 1, shift non-vaccinated individuals recovered give herd immunity (uniform age, R0 based )  mode_start = 3, shift non-vaccinated individuals recovered give herd immunity (stratified age) prior_settings List containing settings priors: must contain text named \"type\": type = \"zero\", prior probability always zero  type = \"flat\", prior probability zero log parameter values designated ranges log_params_min log_params_max,  -Inf otherwise; log_params_min log_params_max included prior_settings vectors length log_params_ini  type = \"norm\", prior probability given dnorm calculation parameter values settings based vectors values  prior_settings:   norm_params_mean norm_params_sd (vectors mean standard deviation values applied log FOI/R0  parameters actual values additional parameters)   + FOI_mean + FOI_sd (mean + standard deviation computed FOI, single values)    + R0_mean + R0_sd (mean + standard deviation computed R0, single values) dt time increment days (must 1 5) n_reps Number times repeat calculations get average likelihood iteration enviro_data Data frame values environmental covariates (columns) region (rows) p_severe_inf Probability infection severe p_death_severe_inf Probability severe infection resulting death add_values List parameters addition governing FOI/R0, either giving fixed value giving NA  indicate part fitted  parameter set  vaccine_efficacy Vaccine efficacy (proportion reported vaccinations causing immunity) (must present)  p_rep_severe Probability observation severe infection  p_rep_death Probability observation death  m_FOI_Brazil Multiplier spillover FOI Brazil regions (relevant regions Brazil considered) deterministic TRUE/FALSE - set model run deterministic mode TRUE mode_parallel TRUE/FALSE - indicate whether use parallel processing supplied cluster speed cluster Cluster threads use mode_parallel = TRUE '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/MCMC.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"MCMC — MCMC","text":"master function running Markov chain optimize parameters yellow fever model based calculated likelihood observing supplied data given particular set parameters.","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/Model_Run.html","id":null,"dir":"Reference","previous_headings":"","what":"Model_Run — Model_Run","title":"Model_Run — Model_Run","text":"Run SEIRV model single region (Model_Run_Multi_Input can used run multiple regions parallel)","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/Model_Run.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Model_Run — Model_Run","text":"","code":"Model_Run(   FOI_spillover = 0,   R0 = 1,   vacc_data = list(),   pop_data = list(),   years_data = c(1940:1941),   start_SEIRV = list(),   output_type = \"full\",   year0 = 1940,   mode_start = 0,   vaccine_efficacy = 1,   dt = 1,   n_particles = 1,   n_threads = 1,   deterministic = FALSE )"},{"path":"https://mrc-ide.github.io/YEP/reference/Model_Run.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Model_Run — Model_Run","text":"FOI_spillover Force infection due spillover sylvatic reservoir R0 Basic reproduction number urban spread infection vacc_data Projected vaccination-based immunity (assuming vaccine_efficacy = 1) age group year pop_data Population age group year years_data Incremental vector years denoting years save data start_SEIRV SEIRV data end previous run use input output_type Type data output: \"full\" = SEIRVC + FOI steps ages \"case\" = annual total new infections (C) summed across ages \"sero\" = annual SEIRV \"case+sero\" = annual SEIRVC, cases summed across ages \"case_alt\" = annual total new infections combined age \"case_alt2\" = total new infections combined age steps year0 First year population/vaccination data mode_start Flag indicating set initial population immunity level addition vaccination mode_start = 0, vaccinated individuals mode_start = 1, shift non-vaccinated individuals recovered give herd immunity (uniform age, R0 based ) mode_start = 2, use SEIRV input list previous run(s) mode_start = 3, shift non-vaccinated individuals recovered give herd immunity (stratified age) vaccine_efficacy Proportional vaccine efficacy dt Time increment days use model (1.0, 2.5 5.0 days) n_particles number particles use n_threads number threads use deterministic TRUE/FALSE - set model run deterministic mode TRUE '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/Model_Run.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Model_Run — Model_Run","text":"Accepts epidemiological + population parameters model settings; runs SEIRV model one region specified time period number particles/threads outputs time-dependent SEIRV values, infection numbers /total force infection values.","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/Model_Run_Many_Reps.html","id":null,"dir":"Reference","previous_headings":"","what":"Model_Run_Many_Reps — Model_Run_Many_Reps","title":"Model_Run_Many_Reps — Model_Run_Many_Reps","text":"Run SEIRV model single region large number repetitions","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/Model_Run_Many_Reps.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Model_Run_Many_Reps — Model_Run_Many_Reps","text":"","code":"Model_Run_Many_Reps(   FOI_spillover = 0,   R0 = 1,   vacc_data = list(),   pop_data = list(),   years_data = c(1940:1941),   start_SEIRV = list(),   output_type = \"full\",   year0 = 1940,   mode_start = 0,   vaccine_efficacy = 1,   dt = 1,   n_reps = 1,   division = 10 )"},{"path":"https://mrc-ide.github.io/YEP/reference/Model_Run_Many_Reps.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Model_Run_Many_Reps — Model_Run_Many_Reps","text":"FOI_spillover Force infection due spillover sylvatic reservoir R0 Basic reproduction number urban spread infection vacc_data Projected vaccination-based immunity (assuming vaccine_efficacy = 1) age group year pop_data Population age group year years_data Incremental vector years denoting years save data start_SEIRV SEIRV data end previous run use input output_type Type data output: \"full\" = SEIRVC + FOI steps ages \"case\" = annual total new infections (C) summed across ages \"sero\" = annual SEIRV \"case+sero\" = annual SEIRVC, C summed across ages \"case_alt\" = annual total new infections combined age \"case_alt2\" = total new infections combined age steps year0 First year population/vaccination data mode_start Flag indicating set initial population immunity level addition vaccination mode_start = 0, vaccinated individuals mode_start = 1, shift non-vaccinated individuals recovered give herd immunity (uniform age, R0 based ) mode_start = 2, use SEIRV input list previous run(s) mode_start = 3, shift non-vaccinated individuals recovered give herd immunity (stratified age) vaccine_efficacy Proportional vaccine efficacy dt Time increment days use model (1.0, 2.5 5.0 days) n_reps Number repetitions (used set number particles threads) division Number particles/threads run one go (20) '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/Model_Run_Many_Reps.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Model_Run_Many_Reps — Model_Run_Many_Reps","text":"Accepts epidemiological + population parameters model settings; runs SEIRV model one region specified time period number repetitions outputs time-dependent SEIRV values, infection numbers /total force infection values. Variation Model_Run() used running large number repetitions (>20).","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/case_data_calculate.html","id":null,"dir":"Reference","previous_headings":"","what":"case_data_calculate — case_data_calculate","title":"case_data_calculate — case_data_calculate","text":"Calculate reported case data SEIRV model output","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/case_data_calculate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"case_data_calculate — case_data_calculate","text":"","code":"case_data_calculate(   model_data = list(),   n_p = 1,   p_severe_inf = 0.12,   p_death_severe_inf = 0.39,   p_rep_severe = 1,   p_rep_death = 1,   output_type = \"annual\",   deterministic = FALSE )"},{"path":"https://mrc-ide.github.io/YEP/reference/case_data_calculate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"case_data_calculate — case_data_calculate","text":"model_data SEIRV output Model_Run similar functions n_p Particle select model_data p_severe_inf Probability infection severe p_death_severe_inf Probability severe infection resulting death p_rep_severe Probability reporting severe non-fatal infection p_rep_death Probability reporting fatal infection output_type Type output produce: \"annual\" - Total reported cases reported deaths year \"pts\" - Total reported cases reported deaths every time point, summed age groups \"full\" - Reported cases reported deaths every time point age group deterministic Indicates whether calculate results deterministically (TRUE) stochastically (FALSE) '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/case_data_calculate.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"case_data_calculate — case_data_calculate","text":"[TBA]","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/case_data_calculate_multi.html","id":null,"dir":"Reference","previous_headings":"","what":"case_data_calculate_multi — case_data_calculate_multi","title":"case_data_calculate_multi — case_data_calculate_multi","text":"Calculate reported case data SEIRV model output across multiple repetitions","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/case_data_calculate_multi.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"case_data_calculate_multi — case_data_calculate_multi","text":"","code":"case_data_calculate_multi(   model_data = list(),   p_severe_inf = 0.12,   p_death_severe_inf = 0.39,   p_rep_severe = 1,   p_rep_death = 1,   output_type = \"annual\",   deterministic = FALSE )"},{"path":"https://mrc-ide.github.io/YEP/reference/case_data_calculate_multi.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"case_data_calculate_multi — case_data_calculate_multi","text":"model_data SEIRV output Model_Run similar functions p_severe_inf Probability infection severe p_death_severe_inf Probability severe infection resulting death p_rep_severe Probability reporting severe non-fatal infection p_rep_death Probability reporting fatal infection output_type Type output produce: \"annual\" - Total reported cases reported deaths year \"pts\" - Total reported cases reported deaths every time point, summed age groups \"full\" - Reported cases reported deaths every time point age group deterministic Indicates whether calculate results deterministically (TRUE) stochastically (FALSE) '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/case_data_calculate_multi.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"case_data_calculate_multi — case_data_calculate_multi","text":"[TBA]","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/case_data_compare.html","id":null,"dir":"Reference","previous_headings":"","what":"case_data_compare — case_data_compare","title":"case_data_compare — case_data_compare","text":"Compare modelled observed case death data using negative binomial function","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/case_data_compare.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"case_data_compare — case_data_compare","text":"","code":"case_data_compare(model_values, obs_values)"},{"path":"https://mrc-ide.github.io/YEP/reference/case_data_compare.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"case_data_compare — case_data_compare","text":"model_values Modelled reported case death values obs_values Observed template case death values '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/case_data_compare.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"case_data_compare — case_data_compare","text":"Compares modelled data (dataset generation functions) reported cases deaths per year observed data, calculating logarithmiclikelihood observing latter given former, using negative binomial formula.","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/create_input_data.html","id":null,"dir":"Reference","previous_headings":"","what":"create_input_data — create_input_data","title":"create_input_data — create_input_data","text":"Creates input data set correct format use functions","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/create_input_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"create_input_data — create_input_data","text":"","code":"create_input_data(   vacc_data = list(),   pop_data = list(),   regions = c(),   years = c() )"},{"path":"https://mrc-ide.github.io/YEP/reference/create_input_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"create_input_data — create_input_data","text":"vacc_data Data frame containing vaccination coverage data region column 1, year column 2 coverage values age remaining columns pop_data Data frame containing population data region column 1, year column 2 population values age remaining columns regions Vector regions extract data vacc_data pop_data (alphabetical order) years Vector years extract data vacc_data pop_data '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/create_input_data.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"create_input_data — create_input_data","text":"Takes vaccination population data data frames (columns age columns showing region   year row), extracts number age groups (verifying data frame),   extracts data specified regions years, creates list format used functions (vectors   region names, years age groups, 3-dimensional arrays vaccination population data).","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/create_param_labels.html","id":null,"dir":"Reference","previous_headings":"","what":"create_param_labels — create_param_labels","title":"create_param_labels — create_param_labels","text":"Apply names parameters set used data matching parameter fitting","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/create_param_labels.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"create_param_labels — create_param_labels","text":"","code":"create_param_labels(enviro_data = NULL, extra_estimated_params = c(\"vacc_eff\"))"},{"path":"https://mrc-ide.github.io/YEP/reference/create_param_labels.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"create_param_labels — create_param_labels","text":"enviro_data Environmental data frame, containing relevant environmental covariate values regions interest extra_estimated_params Vector strings listing variable parameters besides ones determining FOI/R0 (may include vaccine efficacy /infection/death reporting probabilities /Brazil FOI adjustment factor)","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/create_param_labels.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"create_param_labels — create_param_labels","text":"Takes environmental covariate data along names additional parameters (vaccine efficacy reporting probabilities) generates list names parameter set use input fitting functions","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/imm_fraction_function.html","id":null,"dir":"Reference","previous_headings":"","what":"imm_fraction_function — imm_fraction_function","title":"imm_fraction_function — imm_fraction_function","text":"Function estimate notional FOI herd immunity based R0 population age distribution","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/imm_fraction_function.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"imm_fraction_function — imm_fraction_function","text":"","code":"imm_fraction_function(   log_lambda = -4,   R0 = 1,   ages = c(0:100),   pop_fraction = rep(1/101, 101) )"},{"path":"https://mrc-ide.github.io/YEP/reference/imm_fraction_function.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"imm_fraction_function — imm_fraction_function","text":"log_lambda Natural logarithm force infection R0 Basic reproduction number ages List age values pop_fraction Population age group proportion total '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/imm_fraction_function.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"imm_fraction_function — imm_fraction_function","text":"[TBA]","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/input_data_check.html","id":null,"dir":"Reference","previous_headings":"","what":"input_data_check — input_data_check","title":"input_data_check — input_data_check","text":"Check input data correctly formatted","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/input_data_check.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"input_data_check — input_data_check","text":"","code":"input_data_check(input_data = list())"},{"path":"https://mrc-ide.github.io/YEP/reference/input_data_check.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"input_data_check — input_data_check","text":"input_data List population vaccination data multiple regions","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/input_data_check.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"input_data_check — input_data_check","text":"function takes list input data use functions checks correctly   formatted, including containing necessary elements years ages sequence","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/input_data_process.html","id":null,"dir":"Reference","previous_headings":"","what":"input_data_process — input_data_process","title":"input_data_process — input_data_process","text":"Cross-reference input data serological /annual case/death data comparison","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/input_data_process.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"input_data_process — input_data_process","text":"","code":"input_data_process(   input_data = list(),   obs_sero_data = NULL,   obs_case_data = NULL )"},{"path":"https://mrc-ide.github.io/YEP/reference/input_data_process.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"input_data_process — input_data_process","text":"input_data List population vaccination data multiple regions (created using create_input_data() function usually loaded RDS file) obs_sero_data Seroprevalence data comparison, region, year & age group, format . samples/. positives obs_case_data Annual reported case/death data comparison, region year, format . cases/. deaths","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/input_data_process.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"input_data_process — input_data_process","text":"function, used prepare input data functions used calculate likelihood observed data,   amends list population vaccination data used input functions,   cross-referencing seroprevalence /case data adding connection information.","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/input_data_truncate.html","id":null,"dir":"Reference","previous_headings":"","what":"input_data_truncate — input_data_truncate","title":"input_data_truncate — input_data_truncate","text":"Truncate input data list shorter set regions /years","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/input_data_truncate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"input_data_truncate — input_data_truncate","text":"","code":"input_data_truncate(input_data = list(), regions_new = NULL, years_new = NULL)"},{"path":"https://mrc-ide.github.io/YEP/reference/input_data_truncate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"input_data_truncate — input_data_truncate","text":"input_data List population vaccination data multiple regions (created using create_input_data() function usually loaded RDS file) regions_new Vector regions (subset input_data$region_labels) years_new Vector years (subset input_data$years_labels)","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/input_data_truncate.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"input_data_truncate — input_data_truncate","text":"TBA","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/mcmc_checks.html","id":null,"dir":"Reference","previous_headings":"","what":"mcmc_checks — mcmc_checks","title":"mcmc_checks — mcmc_checks","text":"Perform checks MCMC inputs","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/mcmc_checks.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"mcmc_checks — mcmc_checks","text":"","code":"mcmc_checks(   log_params_ini = c(),   n_regions = 1,   prior_settings = list(type = \"zero\"),   enviro_data = list(),   add_values = list(vaccine_efficacy = 1, p_rep_severe = 1, p_rep_death = 1, m_FOI_Brazil     = 1),   extra_estimated_params = list() )"},{"path":"https://mrc-ide.github.io/YEP/reference/mcmc_checks.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"mcmc_checks — mcmc_checks","text":"log_params_ini Initial values parameters estimated (natural logarithm actual parameters; see documentation MCMC() function details) n_regions Number regions prior_settings List containing settings priors; see documentation MCMC() function details) enviro_data Data frame values environmental covariates (columns) region (rows) add_values List parameters addition governing FOI/R0, either giving fixed value giving NA  indicate part parameter set estimated  vaccine_efficacy Vaccine efficacy (proportion reported vaccinations causing immunity) (must present)  p_rep_severe Probability observation severe infection  p_rep_death Probability observation death  m_FOI_Brazil Multiplier spillover FOI Brazil regions (relevant regions Brazil considered) extra_estimated_params Vector names parameters estimated addition governing FOI R0; see add_values","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/mcmc_checks.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"mcmc_checks — mcmc_checks","text":"function, called MCMC(), performs number checks data used fitting ensure proper functionality. verifies number parameters estimated consistent settings certain values outwith sensible boundaries (e.g. probabilities must 0 1).","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/mcmc_prelim_fit.html","id":null,"dir":"Reference","previous_headings":"","what":"mcmc_prelim_fit — mcmc_prelim_fit","title":"mcmc_prelim_fit — mcmc_prelim_fit","text":"Test multiple sets parameters randomly drawn range maximum minimum values order find approximate values giving maximum posterior likelihood","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/mcmc_prelim_fit.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"mcmc_prelim_fit — mcmc_prelim_fit","text":"","code":"mcmc_prelim_fit(   n_iterations = 1,   n_param_sets = 1,   n_bounds = 1,   log_params_min = NULL,   log_params_max = NULL,   input_data = list(),   obs_sero_data = list(),   obs_case_data = list(),   mode_start = 0,   prior_settings = list(type = \"zero\"),   dt = 1,   n_reps = 1,   enviro_data = list(),   p_severe_inf = 0.12,   p_death_severe_inf = 0.39,   add_values = list(vaccine_efficacy = 1, p_rep_severe = 1, p_rep_death = 1, m_FOI_Brazil     = 1),   deterministic = TRUE,   mode_parallel = FALSE,   cluster = NULL )"},{"path":"https://mrc-ide.github.io/YEP/reference/mcmc_prelim_fit.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"mcmc_prelim_fit — mcmc_prelim_fit","text":"n_iterations = Number times run adjust maximum/minimum n_param_sets = Number parameter sets run iteration n_bounds = Number parameter sets (highest likelihood values) take iteration create new maximum/minimum values log_params_min Initial lower limits estimated parameter values (natural logarithm actual limits) log_params_max Initial upper limits estimated parameter values (natural logarithm actual limits) input_data List population vaccination data multiple regions (created using data input creation code usually loaded RDS file) obs_sero_data Seroprevalence data comparison, region, year & age group, format . samples/. positives obs_case_data Annual reported case/death data comparison, region year, format . cases/. deaths mode_start Flag indicating set initial population immunity level addition vaccination  mode_start = 0, vaccinated individuals  mode_start = 1, shift non-vaccinated individuals recovered give herd immunity (uniform age, R0 based )  mode_start = 3, shift non-vaccinated individuals recovered give herd immunity (stratified age) prior_settings List containing settings priors: must contain text named \"type\": type = \"zero\", prior probability always zero  type = \"norm\", prior probability given dnorm calculation parameter values settings based vectors values  prior_settings:   norm_params_mean norm_params_sd (vectors mean standard deviation values applied log FOI/R0  parameters actual values additional parameters)   + FOI_mean + FOI_sd (mean + standard deviation computed FOI, single values)    + R0_mean + R0_sd (mean + standard deviation computed R0, single values) dt time increment days (must 1 5) n_reps Number repetitions enviro_data Data frame values environmental covariates (columns) region (rows) p_severe_inf Probability infection severe p_death_severe_inf Probability severe infection resulting death add_values List parameters addition governing FOI/R0, either giving fixed value giving NA  indicate part fitted  parameter set  vaccine_efficacy Vaccine efficacy (proportion reported vaccinations causing immunity) (must present)  p_rep_severe Probability observation severe infection  p_rep_death Probability observation death  m_FOI_Brazil Multiplier spillover FOI Brazil regions (relevant regions Brazil considered) deterministic TRUE/FALSE - set model run deterministic mode TRUE mode_parallel TRUE/FALSE - indicate whether use parallel processing supplied cluster speed cluster Cluster threads use mode_parallel = TRUE '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/mcmc_prelim_fit.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"mcmc_prelim_fit — mcmc_prelim_fit","text":"function used estimate model parameter values giving maximum posterior likelihood; primarily intended used generate initial parameter values Markov Chain Monte Carlo fitting (using mcmc() function).","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/param_calc_enviro.html","id":null,"dir":"Reference","previous_headings":"","what":"param_calc_enviro — param_calc_enviro","title":"param_calc_enviro — param_calc_enviro","text":"Parameter calculation environmental covariates","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/param_calc_enviro.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"param_calc_enviro — param_calc_enviro","text":"","code":"param_calc_enviro(enviro_coeffs = c(), enviro_covar_values = c())"},{"path":"https://mrc-ide.github.io/YEP/reference/param_calc_enviro.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"param_calc_enviro — param_calc_enviro","text":"enviro_coeffs Values environmental coefficients enviro_covar_values Values environmental covariates '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/param_calc_enviro.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"param_calc_enviro — param_calc_enviro","text":"Takes set coefficients environmental covariates covariate values calculates values   spillover force infection reproduction number.","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/param_prop_setup.html","id":null,"dir":"Reference","previous_headings":"","what":"param_prop_setup — param_prop_setup","title":"param_prop_setup — param_prop_setup","text":"Set proposed new log parameter values next iteration chain","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/param_prop_setup.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"param_prop_setup — param_prop_setup","text":"","code":"param_prop_setup(log_params = c(), chain_cov = 1, adapt = 0)"},{"path":"https://mrc-ide.github.io/YEP/reference/param_prop_setup.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"param_prop_setup — param_prop_setup","text":"log_params Previous log parameter values used input chain_cov Covariance calculated previous iterations chain adapt 0/1 flag indicating type covariance use proposition value (TBA) '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/param_prop_setup.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"param_prop_setup — param_prop_setup","text":"Takes current values parameter set used Markov Chain Monte Carlo fitting proposes new values multivariate normal distribution existing values form mean standard deviation based chain covariance (flag \"adapt\" set 1) flat value based number parameters.","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/parameter_setup.html","id":null,"dir":"Reference","previous_headings":"","what":"Parameter setup — parameter_setup","title":"Parameter setup — parameter_setup","text":"Set parameters input model","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/parameter_setup.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Parameter setup — parameter_setup","text":"","code":"parameter_setup(   FOI_spillover = 0,   R0 = 1,   vacc_data = list(),   pop_data = list(),   year0 = 1940,   years_data = c(1941:1942),   mode_start = 0,   vaccine_efficacy = 1,   start_SEIRV = list(),   dt = 1 )"},{"path":"https://mrc-ide.github.io/YEP/reference/parameter_setup.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Parameter setup — parameter_setup","text":"FOI_spillover Force infection due spillover sylvatic reservoir R0 Reproduction number urban spread infection vacc_data Projected vaccination-based immunity (assuming vaccine_efficacy = 1) age group year pop_data Population age group year year0 First year population/vaccination data years_data Incremental vector years denoting years save data mode_start Flag indicating set initial population immunity level addition vaccination mode_start = 0, vaccinated individuals mode_start = 1, shift non-vaccinated individuals recovered give herd immunity (uniform age, R0 based ) mode_start = 2, use SEIRV input list previous run(s) mode_start = 3, shift non-vaccinated individuals recovered give herd immunity (stratified age) vaccine_efficacy Proportional vaccine efficacy start_SEIRV SEIRV data end previous run use input dt Time increment days use model (either 1.0 5.0 days) '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/parameter_setup.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Parameter setup — parameter_setup","text":"Takes multiple inputs, outputs list use odin SEIRV model.","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/regions_breakdown.html","id":null,"dir":"Reference","previous_headings":"","what":"regions_breakdown — regions_breakdown","title":"regions_breakdown — regions_breakdown","text":"Break regions datasets get list unique regions","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/regions_breakdown.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"regions_breakdown — regions_breakdown","text":"","code":"regions_breakdown(region_labels = c())"},{"path":"https://mrc-ide.github.io/YEP/reference/regions_breakdown.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"regions_breakdown — regions_breakdown","text":"region_labels Vector region labels","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/regions_breakdown.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"regions_breakdown — regions_breakdown","text":"Takes vector region labels, potentially including labels contain one region (e.g.   labels countrywide data adm1 level regions one label separated comma) produces alphabetically   ordered list region labels, breaking comma-separated groups. example, supplying vector labels \"BRA.1_1,BRA.2_1,BRA.3_1\" return vector length 3   - c(\"BRA.1_1\",\"BRA.2_1\",\"BRA.3_1\").","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/sero_calculate.html","id":null,"dir":"Reference","previous_headings":"","what":"sero_calculate — sero_calculate","title":"sero_calculate — sero_calculate","text":"Calculate seroprevalence unvaccinated people modelled data one years one age range","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/sero_calculate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"sero_calculate — sero_calculate","text":"","code":"sero_calculate(   age_min = 0,   age_max = 101,   years = NULL,   vc_factor = 0,   data = list(),   n_p = 1 )"},{"path":"https://mrc-ide.github.io/YEP/reference/sero_calculate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"sero_calculate — sero_calculate","text":"age_min = Minimum age age group age_max = Maximum age age group years = Years calculate average annual seroprevalence vc_factor = Proportion patients tested vaccine status unknown data = Output Basic_Model_Run Full_Model_Run n_p = Particle select data '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/sero_calculate.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"sero_calculate — sero_calculate","text":"Takes information minimum maximum ages desired range, year(s) calculate seroprevalence, factor representing proportion patients unknown vaccine status, SEIRV model output data, calculates seroprevalence unvaccinated people specified age range specified year(s).","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/sero_calculate2.html","id":null,"dir":"Reference","previous_headings":"","what":"sero_calculate2 — sero_calculate2","title":"sero_calculate2 — sero_calculate2","text":"Calculate number \"samples\" number \"positives\" modelled data specified age range(s) year(s)","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/sero_calculate2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"sero_calculate2 — sero_calculate2","text":"","code":"sero_calculate2(sero_data = list(), model_data = list(), n_p = 1)"},{"path":"https://mrc-ide.github.io/YEP/reference/sero_calculate2.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"sero_calculate2 — sero_calculate2","text":"sero_data Data frame containing years, minimum maximum ages, values vc_factor (proportion people vaccination status unknown) model_data SEIRV output Model_Run similar functions n_p Particle select model_data '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/sero_calculate2.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"sero_calculate2 — sero_calculate2","text":"Takes information minimum maximum ages desired range(s), year(s) calculate number \"samples\" (people eligible testing) \"positives\" (people test positive), plus vc_factor (proportion people vaccination status unknown)","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/sero_data_compare.html","id":null,"dir":"Reference","previous_headings":"","what":"sero_data_compare — sero_data_compare","title":"sero_data_compare — sero_data_compare","text":"Take seroprevalence results dataset generation functions, compare comparison observed/template seroprevalence data calculate likelihood","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/sero_data_compare.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"sero_data_compare — sero_data_compare","text":"","code":"sero_data_compare(model_sero_values = c(), obs_sero_data = list())"},{"path":"https://mrc-ide.github.io/YEP/reference/sero_data_compare.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"sero_data_compare — sero_data_compare","text":"model_sero_values Seroprevalence values dataset generation function (. positives/. samples) obs_sero_data Seroprevalence data comparison, year age group, format   . samples/. positives '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/sero_data_compare.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"sero_data_compare — sero_data_compare","text":"[TBA]","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/single_posterior_calc.html","id":null,"dir":"Reference","previous_headings":"","what":"single_posterior_calc — single_posterior_calc","title":"single_posterior_calc — single_posterior_calc","text":"Function calculates outputs posterior likelihood observing simulated data","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/single_posterior_calc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"single_posterior_calc — single_posterior_calc","text":"","code":"single_posterior_calc(   log_params_prop = c(),   input_data = list(),   obs_sero_data = NULL,   obs_case_data = NULL,   ... )"},{"path":"https://mrc-ide.github.io/YEP/reference/single_posterior_calc.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"single_posterior_calc — single_posterior_calc","text":"log_params_prop Proposed values parameters estimated (natural logarithm actual parameters) input_data List population vaccination data multiple regions (created using data input creation code usually loaded RDS file), cross-reference tables added using input_data_process MCMC obs_sero_data Seroprevalence data comparison, region, year & age group, format . samples/. positives obs_case_data Annual reported case/death data comparison, region year, format . cases/. deaths ... = Constant parameters/flags/etc. loaded determined mcmc() mcmc_prelim_fit, including mode_start, prior_settings, dt, n_reps, enviro_data, p_severe_inf, p_death_severe_inf, add_values list, extra_estimated_params, deterministic, mode_parallel, cluster","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/single_posterior_calc.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"single_posterior_calc — single_posterior_calc","text":"function calculates posterior likelihood observing set observations (across multiple regions data types) given proposed parameter set. [TBA]","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/template_region_xref.html","id":null,"dir":"Reference","previous_headings":"","what":"template_region_xref — template_region_xref","title":"template_region_xref — template_region_xref","text":"Cross-reference template data individual regions","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/template_region_xref.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"template_region_xref — template_region_xref","text":"","code":"template_region_xref(template = list(), regions = c())"},{"path":"https://mrc-ide.github.io/YEP/reference/template_region_xref.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"template_region_xref — template_region_xref","text":"template List containing one sets template data (serological data, case data burden data) regions Vector individual regions","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/template_region_xref.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"template_region_xref — template_region_xref","text":"Examines template data (serological, case burden) compares vector region names order  check lines set template data require model data region(s). example,  line set serological data region given \"AGO.1_1,AGO.2_1,AGO.3_1\" compared vector  regions c(\"AGO.1_1\",\"AGO.2_1\",\"AGO.3_1\",...), line requires data regions 1, 2 3. function used generating dataset one templates; normally used functions  Generate_Dataset, Generate_Sero_Dataset, Generate_Case_Dataset, Generate_VIMC_Burden_Dataset  Generate_Multiple_Datasets. returns list containing [TBA].","code":""}]
+[{"path":"https://mrc-ide.github.io/YEP/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Keith Fraser. Author, maintainer.","code":""},{"path":"https://mrc-ide.github.io/YEP/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Fraser K (2024). YEP: Yellow Fever Epidemic Prediction. R package version 0.2.0, https://mrc-ide.github.io/YEP/.","code":"@Manual{,   title = {YEP: Yellow Fever Epidemic Prediction},   author = {Keith Fraser},   year = {2024},   note = {R package version 0.2.0},   url = {https://mrc-ide.github.io/YEP/}, }"},{"path":"https://mrc-ide.github.io/YEP/index.html","id":"yep---yellow-fever-epidemic-prevention","dir":"","previous_headings":"","what":"Yellow Fever Epidemic Prediction","title":"Yellow Fever Epidemic Prediction","text":"package running dynamic SEIRV model yellow fever, creating input data processing output data. package can also used : -Generate datasets based existing yellow fever epidemiological datasets (annual reported case data seroprevalence survey results). -Estimate values epidemiological parameters model parameters including vaccine efficacy case reporting rates, based epidemiological data yellow fever burden one regions. -Generate yellow fever burden data multiple countries based approach used Vaccine Impact Modelling Consortium. Additional packages use package: YEPaux: Auxiliary functions processing model output parameter estimation results YellowFeverDynamics: Alternate versions basic model additional functions outbreak risk estimation response modelling","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/Generate_Dataset.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate_Dataset — Generate_Dataset","title":"Generate_Dataset — Generate_Dataset","text":"Generate annual serological /case/death data","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/Generate_Dataset.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate_Dataset — Generate_Dataset","text":"","code":"Generate_Dataset(   input_data = list(),   FOI_values = c(),   R0_values = c(),   sero_template = NULL,   case_template = NULL,   vaccine_efficacy = 1,   p_severe_inf = 0.12,   p_death_severe_inf = 0.39,   p_rep_severe = 1,   p_rep_death = 1,   mode_start = 1,   start_SEIRV = NULL,   dt = 1,   n_reps = 1,   deterministic = FALSE,   mode_parallel = FALSE,   cluster = NULL,   output_frame = FALSE )"},{"path":"https://mrc-ide.github.io/YEP/reference/Generate_Dataset.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate_Dataset — Generate_Dataset","text":"input_data List population vaccination data multiple regions standard format [TBA] FOI_values Vector values force infection due spillover sylvatic reservoir R0_values Vector values basic reproduction number human-human transmission sero_template Seroprevalence data template - data frame region, year, minimum/maximum age, vc_factor [TBA] number samples case_template Annual reported case/death data template - data frame region year vaccine_efficacy Fractional vaccine efficacy p_severe_inf Probability infection severe p_death_severe_inf Probability severe infection resulting death p_rep_severe Probability reporting severe non-fatal infection p_rep_death Probability reporting fatal infection mode_start Flag indicating set initial population immunity level addition vaccination  mode_start=0, vaccinated individuals  mode_start=1, shift non-vaccinated individuals recovered give herd immunity (uniform age, R0 based )  mode_start=2, use SEIRV input list previous run(s)  mode_start=3, shift non-vaccinated individuals recovered give herd immunity (stratified age) start_SEIRV SEIRV data end previous run use input (list datasets, one per region) dt Time increment days use model (either 1.0, 2.5 5.0 days) n_reps number stochastic repetitions deterministic TRUE/FALSE - set model run deterministic mode TRUE mode_parallel TRUE/FALSE - set model run parallel using cluster TRUE cluster Cluster threads use mode_parallel=TRUE output_frame TRUE/FALSE - indicate whether output complete data frame results template format (TRUE)   calculated values (FALSE) '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/Generate_Dataset.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Generate_Dataset — Generate_Dataset","text":"function used generate annual serological /case/death data based templates; normally used single_posterior_calc() function. [TBA - Explanation breakdown regions model set lengths FOI_values R0_values]","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/MCMC.html","id":null,"dir":"Reference","previous_headings":"","what":"MCMC — MCMC","title":"MCMC — MCMC","text":"Combined MCMC Multi-Region - series MCMC iterations one regions","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/MCMC.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"MCMC — MCMC","text":"","code":"MCMC(   log_params_ini = c(),   input_data = list(),   obs_sero_data = NULL,   obs_case_data = NULL,   filename_prefix = \"Chain\",   Niter = 1,   mode_start = 0,   prior_settings = list(type = \"zero\"),   dt = 1,   n_reps = 1,   enviro_data = list(),   p_severe_inf = 0.12,   p_death_severe_inf = 0.39,   add_values = list(vaccine_efficacy = 1, p_rep_severe = 1, p_rep_death = 1, m_FOI_Brazil     = 1),   deterministic = FALSE,   mode_parallel = FALSE,   cluster = NULL )"},{"path":"https://mrc-ide.github.io/YEP/reference/MCMC.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"MCMC — MCMC","text":"log_params_ini Initial values parameters estimated. always log() values actual parameters, ordered follows:  1) number environmental coefficients used calculate spillover force infection values environmental covariates equal number environmental covariates listed enviro_data frame. Values order columns environmental data frame.  2) number environmental coefficients used calculate basic reproduction number values environmental covariates equal number environmental covariates listed enviro_data frame. Values order columns environmental data frame.  3) Values additional parameters (reported vaccination effectiveness vaccine_efficacy, severe case reporting probability p_rep_severe, fatal case reporting probability p_rep_death, Brazil spillover FOI multiplier m_FOI_Brazil); estimated, order vaccine_efficacy->p_rep_severe->p_rep_death->m_FOI_Brazil. parameters estimated, values separately supplied function (see add_values ) set NA. input_data List population vaccination data multiple regions (created using data input creation code usually loaded RDS file) obs_sero_data Seroprevalence data comparison, region, year & age group, format . samples/. positives obs_case_data Annual reported case/death data comparison, region year, format . cases/. deaths filename_prefix Prefix names output files; function outputs CSV file every 10,000 iterations name format: \"(filename_prefix)XX.csv\", e.g. Chain00.csv Niter Total number iterations run mode_start Flag indicating set initial population immunity level addition vaccination  mode_start = 0, vaccinated individuals  mode_start = 1, shift non-vaccinated individuals recovered give herd immunity (uniform age, R0 based )  mode_start = 3, shift non-vaccinated individuals recovered give herd immunity (stratified age) prior_settings List containing settings priors: must contain text named \"type\": type = \"zero\", prior probability always zero  type = \"flat\", prior probability zero log parameter values designated ranges param_min_limits param_max_limits,  -Inf otherwise; param_min_limits param_max_limits included prior_settings vectors length log_params_ini  type = \"norm\", prior probability given truncated normal distribution calculation parameter values settings based vectors values prior_settings:   norm_params_mean norm_params_sd (vectors mean standard deviation values applied log FOI/R0  parameters actual values additional parameters)   + FOI_mean + FOI_sd (mean + standard deviation computed FOI, single values)    + R0_mean + R0_sd (mean + standard deviation computed R0, single values)   + param_min_limits param_max_limits (lower upper limits applied truncated normal distributions) dt time increment days (must 1 5) n_reps Number times repeat calculations get average likelihood iteration enviro_data Data frame values environmental covariates (columns) region (rows) p_severe_inf Probability infection severe p_death_severe_inf Probability severe infection resulting death add_values List parameters addition governing FOI/R0, either giving fixed value giving NA  indicate part fitted  parameter set  vaccine_efficacy Vaccine efficacy (proportion reported vaccinations causing immunity) (must present)  p_rep_severe Probability observation severe infection  p_rep_death Probability observation death  m_FOI_Brazil Multiplier spillover FOI Brazil regions (relevant regions Brazil considered) deterministic TRUE/FALSE - set model run deterministic mode TRUE mode_parallel TRUE/FALSE - indicate whether use parallel processing supplied cluster speed cluster Cluster threads use mode_parallel = TRUE '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/MCMC.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"MCMC — MCMC","text":"master function running Markov chain optimize parameters yellow fever model based calculated likelihood observing supplied data given particular set parameters.","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/Model_Run.html","id":null,"dir":"Reference","previous_headings":"","what":"Model_Run — Model_Run","title":"Model_Run — Model_Run","text":"Run SEIRV model single region (Model_Run_Multi_Input can used run multiple regions parallel)","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/Model_Run.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Model_Run — Model_Run","text":"","code":"Model_Run(   FOI_spillover = 0,   R0 = 1,   vacc_data = list(),   pop_data = list(),   years_data = c(1940:1941),   start_SEIRV = list(),   output_type = \"full\",   year0 = 1940,   mode_start = 0,   vaccine_efficacy = 1,   dt = 1,   n_particles = 1,   n_threads = 1,   deterministic = FALSE )"},{"path":"https://mrc-ide.github.io/YEP/reference/Model_Run.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Model_Run — Model_Run","text":"FOI_spillover Force infection due spillover sylvatic reservoir R0 Basic reproduction number urban spread infection vacc_data Projected vaccination-based immunity (assuming vaccine_efficacy = 1) age group year pop_data Population age group year years_data Incremental vector years denoting years save data start_SEIRV SEIRV data end previous run use input output_type Type data output: \"full\" = SEIRVC + FOI steps ages \"case\" = annual total new infections (C) summed across ages \"sero\" = annual SEIRV \"case+sero\" = annual SEIRVC, cases summed across ages \"case_alt\" = annual total new infections combined age \"case_alt2\" = total new infections combined age steps year0 First year population/vaccination data mode_start Flag indicating set initial population immunity level addition vaccination mode_start = 0, vaccinated individuals mode_start = 1, shift non-vaccinated individuals recovered give herd immunity (uniform age, R0 based ) mode_start = 2, use SEIRV input list previous run(s) mode_start = 3, shift non-vaccinated individuals recovered give herd immunity (stratified age) vaccine_efficacy Proportional vaccine efficacy dt Time increment days use model (1.0, 2.5 5.0 days) n_particles number particles use n_threads number threads use deterministic TRUE/FALSE - set model run deterministic mode TRUE '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/Model_Run.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Model_Run — Model_Run","text":"Accepts epidemiological + population parameters model settings; runs SEIRV model one region specified time period number particles/threads outputs time-dependent SEIRV values, infection numbers /total force infection values.","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/Model_Run_Many_Reps.html","id":null,"dir":"Reference","previous_headings":"","what":"Model_Run_Many_Reps — Model_Run_Many_Reps","title":"Model_Run_Many_Reps — Model_Run_Many_Reps","text":"Run SEIRV model single region large number repetitions","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/Model_Run_Many_Reps.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Model_Run_Many_Reps — Model_Run_Many_Reps","text":"","code":"Model_Run_Many_Reps(   FOI_spillover = 0,   R0 = 1,   vacc_data = list(),   pop_data = list(),   years_data = c(1940:1941),   start_SEIRV = list(),   output_type = \"full\",   year0 = 1940,   mode_start = 0,   vaccine_efficacy = 1,   dt = 1,   n_reps = 1,   division = 10 )"},{"path":"https://mrc-ide.github.io/YEP/reference/Model_Run_Many_Reps.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Model_Run_Many_Reps — Model_Run_Many_Reps","text":"FOI_spillover Force infection due spillover sylvatic reservoir R0 Basic reproduction number urban spread infection vacc_data Projected vaccination-based immunity (assuming vaccine_efficacy = 1) age group year pop_data Population age group year years_data Incremental vector years denoting years save data start_SEIRV SEIRV data end previous run use input output_type Type data output: \"full\" = SEIRVC + FOI steps ages \"case\" = annual total new infections (C) summed across ages \"sero\" = annual SEIRV \"case+sero\" = annual SEIRVC, C summed across ages \"case_alt\" = annual total new infections combined age \"case_alt2\" = total new infections combined age steps year0 First year population/vaccination data mode_start Flag indicating set initial population immunity level addition vaccination mode_start = 0, vaccinated individuals mode_start = 1, shift non-vaccinated individuals recovered give herd immunity (uniform age, R0 based ) mode_start = 2, use SEIRV input list previous run(s) mode_start = 3, shift non-vaccinated individuals recovered give herd immunity (stratified age) vaccine_efficacy Proportional vaccine efficacy dt Time increment days use model (1.0, 2.5 5.0 days) n_reps Number repetitions (used set number particles threads) division Number particles/threads run one go (20) '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/Model_Run_Many_Reps.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Model_Run_Many_Reps — Model_Run_Many_Reps","text":"Accepts epidemiological + population parameters model settings; runs SEIRV model one region specified time period number repetitions outputs time-dependent SEIRV values, infection numbers /total force infection values. Variation Model_Run() used running large number repetitions (>20).","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/case_data_calculate.html","id":null,"dir":"Reference","previous_headings":"","what":"case_data_calculate — case_data_calculate","title":"case_data_calculate — case_data_calculate","text":"Calculate reported case data SEIRV model output","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/case_data_calculate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"case_data_calculate — case_data_calculate","text":"","code":"case_data_calculate(   model_data = list(),   n_p = 1,   p_severe_inf = 0.12,   p_death_severe_inf = 0.39,   p_rep_severe = 1,   p_rep_death = 1,   output_type = \"annual\",   deterministic = FALSE )"},{"path":"https://mrc-ide.github.io/YEP/reference/case_data_calculate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"case_data_calculate — case_data_calculate","text":"model_data SEIRV output Model_Run similar functions n_p Particle select model_data p_severe_inf Probability infection severe p_death_severe_inf Probability severe infection resulting death p_rep_severe Probability reporting severe non-fatal infection p_rep_death Probability reporting fatal infection output_type Type output produce: \"annual\" - Total reported cases reported deaths year \"pts\" - Total reported cases reported deaths every time point, summed age groups \"full\" - Reported cases reported deaths every time point age group deterministic Indicates whether calculate results deterministically (TRUE) stochastically (FALSE) '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/case_data_calculate.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"case_data_calculate — case_data_calculate","text":"[TBA]","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/case_data_calculate_multi.html","id":null,"dir":"Reference","previous_headings":"","what":"case_data_calculate_multi — case_data_calculate_multi","title":"case_data_calculate_multi — case_data_calculate_multi","text":"Calculate reported case data SEIRV model output across multiple repetitions","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/case_data_calculate_multi.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"case_data_calculate_multi — case_data_calculate_multi","text":"","code":"case_data_calculate_multi(   model_data = list(),   p_severe_inf = 0.12,   p_death_severe_inf = 0.39,   p_rep_severe = 1,   p_rep_death = 1,   output_type = \"annual\",   deterministic = FALSE )"},{"path":"https://mrc-ide.github.io/YEP/reference/case_data_calculate_multi.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"case_data_calculate_multi — case_data_calculate_multi","text":"model_data SEIRV output Model_Run similar functions p_severe_inf Probability infection severe p_death_severe_inf Probability severe infection resulting death p_rep_severe Probability reporting severe non-fatal infection p_rep_death Probability reporting fatal infection output_type Type output produce: \"annual\" - Total reported cases reported deaths year \"pts\" - Total reported cases reported deaths every time point, summed age groups \"full\" - Reported cases reported deaths every time point age group deterministic Indicates whether calculate results deterministically (TRUE) stochastically (FALSE) '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/case_data_calculate_multi.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"case_data_calculate_multi — case_data_calculate_multi","text":"[TBA]","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/case_data_compare.html","id":null,"dir":"Reference","previous_headings":"","what":"case_data_compare — case_data_compare","title":"case_data_compare — case_data_compare","text":"Compare modelled observed case death data using negative binomial function","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/case_data_compare.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"case_data_compare — case_data_compare","text":"","code":"case_data_compare(model_values, obs_values)"},{"path":"https://mrc-ide.github.io/YEP/reference/case_data_compare.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"case_data_compare — case_data_compare","text":"model_values Modelled reported case death values obs_values Observed template case death values '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/case_data_compare.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"case_data_compare — case_data_compare","text":"Compares modelled data (dataset generation functions) reported cases deaths per year observed data, calculating logarithmiclikelihood observing latter given former, using negative binomial formula.","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/create_input_data.html","id":null,"dir":"Reference","previous_headings":"","what":"create_input_data — create_input_data","title":"create_input_data — create_input_data","text":"Creates input data set correct format use functions","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/create_input_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"create_input_data — create_input_data","text":"","code":"create_input_data(   vacc_data = list(),   pop_data = list(),   regions = c(),   years = c() )"},{"path":"https://mrc-ide.github.io/YEP/reference/create_input_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"create_input_data — create_input_data","text":"vacc_data Data frame containing vaccination coverage data region column 1, year column 2 coverage values age remaining columns pop_data Data frame containing population data region column 1, year column 2 population values age remaining columns regions Vector regions extract data vacc_data pop_data (alphabetical order) years Vector years extract data vacc_data pop_data '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/create_input_data.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"create_input_data — create_input_data","text":"Takes vaccination population data data frames (columns age columns showing region   year row), extracts number age groups (verifying data frame),   extracts data specified regions years, creates list format used functions (vectors   region names, years age groups, 3-dimensional arrays vaccination population data).","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/create_param_labels.html","id":null,"dir":"Reference","previous_headings":"","what":"create_param_labels — create_param_labels","title":"create_param_labels — create_param_labels","text":"Apply names parameters set used data matching parameter fitting","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/create_param_labels.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"create_param_labels — create_param_labels","text":"","code":"create_param_labels(enviro_data = NULL, extra_estimated_params = c(\"vacc_eff\"))"},{"path":"https://mrc-ide.github.io/YEP/reference/create_param_labels.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"create_param_labels — create_param_labels","text":"enviro_data Environmental data frame, containing relevant environmental covariate values regions interest extra_estimated_params Vector strings listing variable parameters besides ones determining FOI/R0 (may include vaccine efficacy /infection/death reporting probabilities /Brazil FOI adjustment factor)","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/create_param_labels.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"create_param_labels — create_param_labels","text":"Takes environmental covariate data along names additional parameters (vaccine efficacy reporting probabilities) generates list names parameter set use input fitting functions","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/imm_fraction_function.html","id":null,"dir":"Reference","previous_headings":"","what":"imm_fraction_function — imm_fraction_function","title":"imm_fraction_function — imm_fraction_function","text":"Function estimate notional FOI herd immunity based R0 population age distribution","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/imm_fraction_function.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"imm_fraction_function — imm_fraction_function","text":"","code":"imm_fraction_function(   log_lambda = -4,   R0 = 1,   ages = c(0:100),   pop_fraction = rep(1/101, 101) )"},{"path":"https://mrc-ide.github.io/YEP/reference/imm_fraction_function.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"imm_fraction_function — imm_fraction_function","text":"log_lambda Natural logarithm force infection R0 Basic reproduction number ages List age values pop_fraction Population age group proportion total '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/imm_fraction_function.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"imm_fraction_function — imm_fraction_function","text":"[TBA]","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/input_data_check.html","id":null,"dir":"Reference","previous_headings":"","what":"input_data_check — input_data_check","title":"input_data_check — input_data_check","text":"Check input data correctly formatted","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/input_data_check.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"input_data_check — input_data_check","text":"","code":"input_data_check(input_data = list())"},{"path":"https://mrc-ide.github.io/YEP/reference/input_data_check.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"input_data_check — input_data_check","text":"input_data List population vaccination data multiple regions","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/input_data_check.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"input_data_check — input_data_check","text":"function takes list input data use functions checks correctly   formatted, including containing necessary elements years ages sequence","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/input_data_process.html","id":null,"dir":"Reference","previous_headings":"","what":"input_data_process — input_data_process","title":"input_data_process — input_data_process","text":"Cross-reference input data serological /annual case/death data comparison","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/input_data_process.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"input_data_process — input_data_process","text":"","code":"input_data_process(   input_data = list(),   obs_sero_data = NULL,   obs_case_data = NULL )"},{"path":"https://mrc-ide.github.io/YEP/reference/input_data_process.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"input_data_process — input_data_process","text":"input_data List population vaccination data multiple regions (created using create_input_data() function usually loaded RDS file) obs_sero_data Seroprevalence data comparison, region, year & age group, format . samples/. positives obs_case_data Annual reported case/death data comparison, region year, format . cases/. deaths","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/input_data_process.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"input_data_process — input_data_process","text":"function, used prepare input data functions used calculate likelihood observed data,   amends list population vaccination data used input functions,   cross-referencing seroprevalence /case data adding connection information.","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/input_data_truncate.html","id":null,"dir":"Reference","previous_headings":"","what":"input_data_truncate — input_data_truncate","title":"input_data_truncate — input_data_truncate","text":"Truncate input data list shorter set regions /years","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/input_data_truncate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"input_data_truncate — input_data_truncate","text":"","code":"input_data_truncate(input_data = list(), regions_new = NULL, years_new = NULL)"},{"path":"https://mrc-ide.github.io/YEP/reference/input_data_truncate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"input_data_truncate — input_data_truncate","text":"input_data List population vaccination data multiple regions (created using create_input_data() function usually loaded RDS file) regions_new Vector regions (subset input_data$region_labels) years_new Vector years (subset input_data$years_labels)","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/input_data_truncate.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"input_data_truncate — input_data_truncate","text":"TBA","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/mcmc_checks.html","id":null,"dir":"Reference","previous_headings":"","what":"mcmc_checks — mcmc_checks","title":"mcmc_checks — mcmc_checks","text":"Perform checks MCMC inputs","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/mcmc_checks.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"mcmc_checks — mcmc_checks","text":"","code":"mcmc_checks(   log_params_ini = c(),   n_regions = 1,   prior_settings = list(type = \"zero\"),   enviro_data = list(),   add_values = list(vaccine_efficacy = 1, p_rep_severe = 1, p_rep_death = 1, m_FOI_Brazil     = 1),   extra_estimated_params = list() )"},{"path":"https://mrc-ide.github.io/YEP/reference/mcmc_checks.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"mcmc_checks — mcmc_checks","text":"log_params_ini Initial values parameters estimated (natural logarithm actual parameters; see documentation MCMC() function details) n_regions Number regions prior_settings List containing settings priors; see documentation MCMC() function details) enviro_data Data frame values environmental covariates (columns) region (rows) add_values List parameters addition governing FOI/R0, either giving fixed value giving NA  indicate part parameter set estimated  vaccine_efficacy Vaccine efficacy (proportion reported vaccinations causing immunity) (must present)  p_rep_severe Probability observation severe infection  p_rep_death Probability observation death  m_FOI_Brazil Multiplier spillover FOI Brazil regions (relevant regions Brazil considered) extra_estimated_params Vector names parameters estimated addition governing FOI R0; see add_values","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/mcmc_checks.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"mcmc_checks — mcmc_checks","text":"function, called MCMC(), performs number checks data used fitting ensure proper functionality. verifies number parameters estimated consistent settings certain values outwith sensible boundaries (e.g. probabilities must 0 1).","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/mcmc_prelim_fit.html","id":null,"dir":"Reference","previous_headings":"","what":"mcmc_prelim_fit — mcmc_prelim_fit","title":"mcmc_prelim_fit — mcmc_prelim_fit","text":"Test multiple sets parameters randomly drawn range maximum minimum values order find approximate values giving maximum posterior likelihood","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/mcmc_prelim_fit.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"mcmc_prelim_fit — mcmc_prelim_fit","text":"","code":"mcmc_prelim_fit(   n_iterations = 1,   n_param_sets = 1,   n_bounds = 1,   log_params_min = NULL,   log_params_max = NULL,   input_data = list(),   obs_sero_data = list(),   obs_case_data = list(),   mode_start = 0,   prior_settings = list(type = \"zero\"),   dt = 1,   n_reps = 1,   enviro_data = list(),   p_severe_inf = 0.12,   p_death_severe_inf = 0.39,   add_values = list(vaccine_efficacy = 1, p_rep_severe = 1, p_rep_death = 1, m_FOI_Brazil     = 1),   deterministic = TRUE,   mode_parallel = FALSE,   cluster = NULL )"},{"path":"https://mrc-ide.github.io/YEP/reference/mcmc_prelim_fit.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"mcmc_prelim_fit — mcmc_prelim_fit","text":"n_iterations = Number times run adjust maximum/minimum n_param_sets = Number parameter sets run iteration n_bounds = Number parameter sets (highest likelihood values) take iteration create new maximum/minimum values log_params_min Initial lower limits estimated parameter values (natural logarithm actual limits) log_params_max Initial upper limits estimated parameter values (natural logarithm actual limits) input_data List population vaccination data multiple regions (created using data input creation code usually loaded RDS file) obs_sero_data Seroprevalence data comparison, region, year & age group, format . samples/. positives obs_case_data Annual reported case/death data comparison, region year, format . cases/. deaths mode_start Flag indicating set initial population immunity level addition vaccination  mode_start = 0, vaccinated individuals  mode_start = 1, shift non-vaccinated individuals recovered give herd immunity (uniform age, R0 based )  mode_start = 3, shift non-vaccinated individuals recovered give herd immunity (stratified age) prior_settings List containing settings priors: must contain text named \"type\": type = \"zero\", prior probability always zero  type = \"norm\", prior probability given dnorm calculation parameter values settings based vectors values  prior_settings:   norm_params_mean norm_params_sd (vectors mean standard deviation values applied log FOI/R0  parameters actual values additional parameters)   + FOI_mean + FOI_sd (mean + standard deviation computed FOI, single values)    + R0_mean + R0_sd (mean + standard deviation computed R0, single values) dt time increment days (must 1 5) n_reps Number repetitions enviro_data Data frame values environmental covariates (columns) region (rows) p_severe_inf Probability infection severe p_death_severe_inf Probability severe infection resulting death add_values List parameters addition governing FOI/R0, either giving fixed value giving NA  indicate part fitted  parameter set  vaccine_efficacy Vaccine efficacy (proportion reported vaccinations causing immunity) (must present)  p_rep_severe Probability observation severe infection  p_rep_death Probability observation death  m_FOI_Brazil Multiplier spillover FOI Brazil regions (relevant regions Brazil considered) deterministic TRUE/FALSE - set model run deterministic mode TRUE mode_parallel TRUE/FALSE - indicate whether use parallel processing supplied cluster speed cluster Cluster threads use mode_parallel = TRUE '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/mcmc_prelim_fit.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"mcmc_prelim_fit — mcmc_prelim_fit","text":"function used estimate model parameter values giving maximum posterior likelihood; primarily intended used generate initial parameter values Markov Chain Monte Carlo fitting (using mcmc() function).","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/param_calc_enviro.html","id":null,"dir":"Reference","previous_headings":"","what":"param_calc_enviro — param_calc_enviro","title":"param_calc_enviro — param_calc_enviro","text":"Parameter calculation environmental covariates","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/param_calc_enviro.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"param_calc_enviro — param_calc_enviro","text":"","code":"param_calc_enviro(enviro_coeffs = c(), enviro_covar_values = c())"},{"path":"https://mrc-ide.github.io/YEP/reference/param_calc_enviro.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"param_calc_enviro — param_calc_enviro","text":"enviro_coeffs Values environmental coefficients enviro_covar_values Values environmental covariates '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/param_calc_enviro.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"param_calc_enviro — param_calc_enviro","text":"Takes set coefficients environmental covariates covariate values calculates values   spillover force infection reproduction number.","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/param_prop_setup.html","id":null,"dir":"Reference","previous_headings":"","what":"param_prop_setup — param_prop_setup","title":"param_prop_setup — param_prop_setup","text":"Set proposed new log parameter values next iteration chain","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/param_prop_setup.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"param_prop_setup — param_prop_setup","text":"","code":"param_prop_setup(log_params = c(), chain_cov = 1, adapt = 0)"},{"path":"https://mrc-ide.github.io/YEP/reference/param_prop_setup.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"param_prop_setup — param_prop_setup","text":"log_params Previous log parameter values used input chain_cov Covariance calculated previous iterations chain adapt 0/1 flag indicating type covariance use proposition value (TBA) '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/param_prop_setup.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"param_prop_setup — param_prop_setup","text":"Takes current values parameter set used Markov Chain Monte Carlo fitting proposes new values multivariate normal distribution existing values form mean standard deviation based chain covariance (flag \"adapt\" set 1) flat value based number parameters.","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/parameter_setup.html","id":null,"dir":"Reference","previous_headings":"","what":"Parameter setup — parameter_setup","title":"Parameter setup — parameter_setup","text":"Set parameters input model","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/parameter_setup.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Parameter setup — parameter_setup","text":"","code":"parameter_setup(   FOI_spillover = 0,   R0 = 1,   vacc_data = list(),   pop_data = list(),   year0 = 1940,   years_data = c(1941:1942),   mode_start = 0,   vaccine_efficacy = 1,   start_SEIRV = list(),   dt = 1 )"},{"path":"https://mrc-ide.github.io/YEP/reference/parameter_setup.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Parameter setup — parameter_setup","text":"FOI_spillover Force infection due spillover sylvatic reservoir R0 Reproduction number urban spread infection vacc_data Projected vaccination-based immunity (assuming vaccine_efficacy = 1) age group year pop_data Population age group year year0 First year population/vaccination data years_data Incremental vector years denoting years save data mode_start Flag indicating set initial population immunity level addition vaccination mode_start = 0, vaccinated individuals mode_start = 1, shift non-vaccinated individuals recovered give herd immunity (uniform age, R0 based ) mode_start = 2, use SEIRV input list previous run(s) mode_start = 3, shift non-vaccinated individuals recovered give herd immunity (stratified age) vaccine_efficacy Proportional vaccine efficacy start_SEIRV SEIRV data end previous run use input dt Time increment days use model (either 1.0 5.0 days) '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/parameter_setup.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Parameter setup — parameter_setup","text":"Takes multiple inputs, outputs list use odin SEIRV model.","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/regions_breakdown.html","id":null,"dir":"Reference","previous_headings":"","what":"regions_breakdown — regions_breakdown","title":"regions_breakdown — regions_breakdown","text":"Break regions datasets get list unique regions","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/regions_breakdown.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"regions_breakdown — regions_breakdown","text":"","code":"regions_breakdown(region_labels = c())"},{"path":"https://mrc-ide.github.io/YEP/reference/regions_breakdown.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"regions_breakdown — regions_breakdown","text":"region_labels Vector region labels","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/regions_breakdown.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"regions_breakdown — regions_breakdown","text":"Takes vector region labels, potentially including labels contain one region (e.g.   labels countrywide data adm1 level regions one label separated comma) produces alphabetically   ordered list region labels, breaking comma-separated groups. example, supplying vector labels \"BRA.1_1,BRA.2_1,BRA.3_1\" return vector length 3   - c(\"BRA.1_1\",\"BRA.2_1\",\"BRA.3_1\").","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/sero_calculate.html","id":null,"dir":"Reference","previous_headings":"","what":"sero_calculate — sero_calculate","title":"sero_calculate — sero_calculate","text":"Calculate seroprevalence unvaccinated people modelled data one years one age range","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/sero_calculate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"sero_calculate — sero_calculate","text":"","code":"sero_calculate(   age_min = 0,   age_max = 101,   years = NULL,   vc_factor = 0,   data = list(),   n_p = 1 )"},{"path":"https://mrc-ide.github.io/YEP/reference/sero_calculate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"sero_calculate — sero_calculate","text":"age_min = Minimum age age group age_max = Maximum age age group years = Years calculate average annual seroprevalence vc_factor = Proportion patients tested vaccine status unknown data = Output Basic_Model_Run Full_Model_Run n_p = Particle select data '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/sero_calculate.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"sero_calculate — sero_calculate","text":"Takes information minimum maximum ages desired range, year(s) calculate seroprevalence, factor representing proportion patients unknown vaccine status, SEIRV model output data, calculates seroprevalence unvaccinated people specified age range specified year(s).","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/sero_calculate2.html","id":null,"dir":"Reference","previous_headings":"","what":"sero_calculate2 — sero_calculate2","title":"sero_calculate2 — sero_calculate2","text":"Calculate number \"samples\" number \"positives\" modelled data specified age range(s) year(s)","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/sero_calculate2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"sero_calculate2 — sero_calculate2","text":"","code":"sero_calculate2(sero_data = list(), model_data = list(), n_p = 1)"},{"path":"https://mrc-ide.github.io/YEP/reference/sero_calculate2.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"sero_calculate2 — sero_calculate2","text":"sero_data Data frame containing years, minimum maximum ages, values vc_factor (proportion people vaccination status unknown) model_data SEIRV output Model_Run similar functions n_p Particle select model_data '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/sero_calculate2.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"sero_calculate2 — sero_calculate2","text":"Takes information minimum maximum ages desired range(s), year(s) calculate number \"samples\" (people eligible testing) \"positives\" (people test positive), plus vc_factor (proportion people vaccination status unknown)","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/sero_data_compare.html","id":null,"dir":"Reference","previous_headings":"","what":"sero_data_compare — sero_data_compare","title":"sero_data_compare — sero_data_compare","text":"Take seroprevalence results dataset generation functions, compare comparison observed/template seroprevalence data calculate likelihood","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/sero_data_compare.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"sero_data_compare — sero_data_compare","text":"","code":"sero_data_compare(model_sero_values = c(), obs_sero_data = list())"},{"path":"https://mrc-ide.github.io/YEP/reference/sero_data_compare.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"sero_data_compare — sero_data_compare","text":"model_sero_values Seroprevalence values dataset generation function (. positives/. samples) obs_sero_data Seroprevalence data comparison, year age group, format   . samples/. positives '","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/sero_data_compare.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"sero_data_compare — sero_data_compare","text":"[TBA]","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/single_posterior_calc.html","id":null,"dir":"Reference","previous_headings":"","what":"single_posterior_calc — single_posterior_calc","title":"single_posterior_calc — single_posterior_calc","text":"Function calculates outputs posterior likelihood observing simulated data","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/single_posterior_calc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"single_posterior_calc — single_posterior_calc","text":"","code":"single_posterior_calc(   log_params_prop = c(),   input_data = list(),   obs_sero_data = NULL,   obs_case_data = NULL,   ... )"},{"path":"https://mrc-ide.github.io/YEP/reference/single_posterior_calc.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"single_posterior_calc — single_posterior_calc","text":"log_params_prop Proposed values parameters estimated (natural logarithm actual parameters) input_data List population vaccination data multiple regions (created using data input creation code usually loaded RDS file), cross-reference tables added using input_data_process MCMC obs_sero_data Seroprevalence data comparison, region, year & age group, format . samples/. positives obs_case_data Annual reported case/death data comparison, region year, format . cases/. deaths ... = Constant parameters/flags/etc. loaded determined mcmc() mcmc_prelim_fit, including mode_start, prior_settings, dt, n_reps, enviro_data, p_severe_inf, p_death_severe_inf, add_values list, extra_estimated_params, deterministic, mode_parallel, cluster","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/single_posterior_calc.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"single_posterior_calc — single_posterior_calc","text":"function calculates posterior likelihood observing set observations (across multiple regions data types) given proposed parameter set. [TBA]","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/template_region_xref.html","id":null,"dir":"Reference","previous_headings":"","what":"template_region_xref — template_region_xref","title":"template_region_xref — template_region_xref","text":"Cross-reference template data individual regions","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/template_region_xref.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"template_region_xref — template_region_xref","text":"","code":"template_region_xref(template = list(), regions = c())"},{"path":"https://mrc-ide.github.io/YEP/reference/template_region_xref.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"template_region_xref — template_region_xref","text":"template List containing one sets template data (serological data, case data burden data) regions Vector individual regions","code":""},{"path":"https://mrc-ide.github.io/YEP/reference/template_region_xref.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"template_region_xref — template_region_xref","text":"Examines template data (serological, case burden) compares vector region names order  check lines set template data require model data region(s). example,  line set serological data region given \"AGO.1_1,AGO.2_1,AGO.3_1\" compared vector  regions c(\"AGO.1_1\",\"AGO.2_1\",\"AGO.3_1\",...), line requires data regions 1, 2 3. function used generating dataset one templates; normally used functions  Generate_Dataset, Generate_Sero_Dataset, Generate_Case_Dataset, Generate_VIMC_Burden_Dataset  Generate_Multiple_Datasets. returns list containing [TBA].","code":""}]
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