klaR (version 1.7-1)

Classification and Visualization

Description

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.

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Install

install.packages('klaR')

Monthly Downloads

37,295

Version

1.7-1

License

GPL-2 | GPL-3

Maintainer

Last Published

June 27th, 2022