klaR
Classification and Visualization
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.
- Version1.7-3
- R version≥ 2.10.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- klaR citation info
- Last release12/13/2023
Documentation
Team
Uwe Ligges
Christian Roever, Nils Raabe, Karsten Luebke, Uwe Ligges, Gero Szepannek, Marc Zentgraf, David Meyer
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Dependencies
- Depends2 packages
- Imports6 packages
- Enhances3 packages
- Suggests5 packages
- Reverse Imports9 packages
- Reverse Suggests15 packages