candidate fix for #49

DESCRIPTION

@@ -1,35 +1,35 @@
-Package: fairmodels
-Type: Package
-Title: Flexible Tool for Bias Detection, Visualization, and Mitigation
-Version: 1.2.0
-Authors@R:
-    c(person("Jakub", "Wiśniewski", role = c("aut", "cre"),
-             email = "[email protected]"),
-      person("Przemysław", "Biecek", role = c("aut"), 
-             comment = c(ORCID = "0000-0001-8423-1823")))
-Description: Measure fairness metrics in one place for many models. Check how big is model's bias towards different races, sex, nationalities etc. Use measures such as Statistical Parity, Equal odds to detect the discrimination against unprivileged groups. Visualize the bias using heatmap, radar plot, biplot, bar chart (and more!). There are various pre-processing and post-processing bias mitigation algorithms implemented. Package also supports calculating fairness metrics for regression models. Find more details in (Wiśniewski, Biecek (2021)) <arXiv:2104.00507>.  
-License: GPL-3
-Encoding: UTF-8
-LazyData: true
-Depends: R (>= 3.5)
-Imports: 
-    DALEX, 
-    ggplot2,
-    scales, 
-    stats,
-    patchwork,
-Suggests:
-    ranger,
-    gbm,
-    knitr,
-    rmarkdown,
-    covr,
-    testthat,
-    spelling,
-    ggdendro, 
-    ggrepel, 
-RoxygenNote: 7.1.1.9001
-VignetteBuilder: knitr
-URL: https://fairmodels.drwhy.ai/
-BugReports: https://github.com/ModelOriented/fairmodels/issues
-Language: en-US
+Package: fairmodels
+Type: Package
+Title: Flexible Tool for Bias Detection, Visualization, and Mitigation
+Version: 1.2.1
+Authors@R:
+    c(person("Jakub", "Wiśniewski", role = c("aut", "cre"),
+             email = "[email protected]"),
+      person("Przemysław", "Biecek", role = c("aut"), 
+             comment = c(ORCID = "0000-0001-8423-1823")))
+Description: Measure fairness metrics in one place for many models. Check how big is model's bias towards different races, sex, nationalities etc. Use measures such as Statistical Parity, Equal odds to detect the discrimination against unprivileged groups. Visualize the bias using heatmap, radar plot, biplot, bar chart (and more!). There are various pre-processing and post-processing bias mitigation algorithms implemented. Package also supports calculating fairness metrics for regression models. Find more details in (Wiśniewski, Biecek (2021)) <arXiv:2104.00507>.  
+License: GPL-3
+Encoding: UTF-8
+LazyData: true
+Depends: R (>= 3.5)
+Imports: 
+    DALEX, 
+    ggplot2,
+    scales, 
+    stats,
+    patchwork,
+Suggests:
+    ranger,
+    gbm,
+    knitr,
+    rmarkdown,
+    covr,
+    testthat,
+    spelling,
+    ggdendro, 
+    ggrepel, 
+RoxygenNote: 7.1.1.9001
+VignetteBuilder: knitr
+URL: https://fairmodels.drwhy.ai/
+BugReports: https://github.com/ModelOriented/fairmodels/issues
+Language: en-US

NEWS.md

@@ -1,3 +1,7 @@
+# fairmodels 1.2.1
+* changed CITATION file (added reference to the RJournal)
+* fix for https://github.com/ModelOriented/fairmodels/issues/49
+
 # fairmodels 1.2.0
 * Added filtering metrics when plotting and printing of `fairness_object`. 
 * Added ability to add custom measure function to print method of `fairness_object`