Classification and Visualization R package klaR version 1.7-4 CRAN Task View: MachineLearning (https://CRAN.R-project.org/view=MachineLearning) Miscellaneous functions for classification and visualization, e.g. regularized discriminant analysis, sknn() kernel-density naive Bayes, an interface to 'svmlight' and stepclass() wrapper variable selection for supervised classification, partimat() visualization of classification rules and shardsplot() of cluster results as well as kmodes() clustering for categorical data, corclust() variable clustering, variable extraction from different variable clustering models and weight of evidence preprocessing. Software Depends: R (>= 2.10.0), MASS Imports: combinat, questionr, grDevices, stats, utils, graphics Suggests: scatterplot3d (>= 0.3-22), som, mlbench, rpart, e1071 Enhances: clustMixType, randomForest, ClustVarLV Uwe Ligges <ligges@statistik.tu-dortmund.de> Comprehensive R Archive Network (CRAN) Christian Roever [aut], Nils Raabe [aut], Karsten Luebke [aut], Uwe Ligges [aut, cre], Gero Szepannek [aut], Marc Zentgraf [aut], David Meyer [aut] GPL-2 GPL-3 2026-02-23 application/tgz https://CRAN.R-project.org/package=klaR doi:10.32614/CRAN.package.klaR