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.
| Version: |
1.7-1 |
| 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 |
| Published: |
2022-06-27 |
| Author: |
Christian Roever, Nils Raabe, Karsten Luebke, Uwe Ligges, Gero Szepannek, Marc Zentgraf, David Meyer |
| Maintainer: |
Uwe Ligges <ligges at statistik.tu-dortmund.de> |
| License: |
GPL-2 | GPL-3 |
| URL: |
https://www.statistik.tu-dortmund.de |
| NeedsCompilation: |
no |
| SystemRequirements: |
SVMlight |
| Citation: |
klaR citation info |
| Materials: |
NEWS |
| In views: |
MachineLearning |
| CRAN checks: |
klaR results |
Documentation:
Downloads:
Reverse dependencies:
| Reverse imports: |
agricolae, CLUSTShiny, DA, diceR, fingerPro, FPDclustering |
| Reverse suggests: |
assignPOP, caret, caretEnsemble, discrim, finetune, fscaret, hda, MLInterfaces, mlr, TunePareto |
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