DESCRIPTION

Package: EGA
Type: Package
Title: Exploratory Graph Analysis: Estimating the number of dimensions in
    psychological data
Version: 0.2
Date: 2017-01-18
Author: Hudson F. Golino
Maintainer: Hudson F. Golino <hfgolino@gmail.com>
Description: An implementation of the Exploratory Graph Analysis (EGA). EGA is part of a new area called network psychometrics,
            that focuses on the estimation of undirected network models to psychological datasets. EGA estimates the number of
            dimensions or factors using graphical lasso and a weighted network community analysis. A bootstrap method for
            verifying the stability of the estimation is also available. The fit of the structure suggested by EGA can be
            verified using confirmatory factor analysis and a direct way to convert the EGA structure to CFA is also
            implemented. Documentation and examples are available.
License: GPL-3
LazyData: TRUE
RoxygenNote: 5.0.1
Imports:
    qgraph (>= 1.4.1),
    semPlot (>= 1.0.1),
    bootnet (>= 0.3),
    igraph (>= 1.0.1),
    lavaan (>= 0.5-22),
    doParallel (>= 1.0.10),
    foreach (>= 1.4.3)
Suggests: knitr,
    rmarkdown
VignetteBuilder: knitr