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.


Info: This package contains files in non-standard labels.

conda install

  • linux-64  v0.6_14
  • noarch  v0.6_14
  • osx-64  v0.6_14
  • win-64  v0.6_14
To install this package with conda run one of the following:
conda install -c conda-forge r-klar
conda install -c conda-forge/label/gcc7 r-klar
conda install -c conda-forge/label/cf201901 r-klar


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