classmap: Visualizing Classification Results

Tools to visualize the results of a classification of cases. The graphical displays include stacked plots, silhouette plots, quasi residual plots, and class maps. Implements the techniques described and illustrated in Raymaekers, Rousseeuw and Hubert (2021), Class maps for visualizing classification results, Technometrics, appeared online. <doi:10.1080/00401706.2021.1927849> (open access) and Raymaekers and Rousseeuw (2021), Silhouettes and quasi residual plots for neural nets and tree-based classifiers, <arXiv:2106.08814>. Examples can be found in the vignettes: "Discriminant_analysis_examples","K_nearest_neighbors_examples", "Support_vector_machine_examples", "Rpart_examples", "Random_forest_examples", and "Neural_net_examples".

Version: 1.2.0
Depends: R (≥ 3.5.0)
Imports: stats, graphics, ggplot2, robustbase, e1071, cellWise, cluster, kernlab, gridExtra, rpart, randomForest
Suggests: knitr, reshape2, svd, rpart.plot, nnet, robCompositions
Published: 2022-01-09
Author: Jakob Raymaekers [aut, cre], Peter Rousseeuw [aut]
Maintainer: Jakob Raymaekers <jakob.raymaekers at kuleuven.be>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://doi.org/10.1080/00401706.2021.1927849, https://arxiv.org/abs/2106.08814
NeedsCompilation: no
CRAN checks: classmap results

Documentation:

Reference manual: classmap.pdf
Vignettes: Discriminant_analysis_examples
K_nearest_neighbors_examples
Neural_net_examples
Random_forest_examples
Rpart_examples
Support_vector_machine_examples

Downloads:

Package source: classmap_1.2.0.tar.gz
Windows binaries: r-devel: classmap_1.2.0.zip, r-release: classmap_1.2.0.zip, r-oldrel: classmap_1.2.0.zip
macOS binaries: r-release (arm64): classmap_1.2.0.tgz, r-oldrel (arm64): classmap_1.2.0.tgz, r-release (x86_64): classmap_1.2.0.tgz, r-oldrel (x86_64): classmap_1.2.0.tgz
Old sources: classmap archive

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