classmap: Visualizing Classification Results by Classmaps

Tools to visualize the results of a classification obtained by discriminant analysis, k-nearest neighbors, and support vector machines, for two or more classes. Implements the techniques described and illustrated in Raymaekers, Rousseeuw and Hubert (2021), Class maps for visualizing classification results, Technometrics, to appear. In addition to class maps, also stacked plots are made. Examples can be found in the vignettes: "Discriminant_analysis_examples","K_nearest_neighbors_examples" and "Support_vector_machine_examples".

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: stats, graphics, ggplot2, robustbase, e1071, cellWise, cluster, kernlab, gridExtra
Suggests: knitr, reshape2, svd
Published: 2021-05-10
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)]
NeedsCompilation: no
CRAN checks: classmap results

Downloads:

Reference manual: classmap.pdf
Vignettes: Discriminant_analysis_examples
K_nearest_neighbors_examples
Support_vector_machine_examples
Package source: classmap_1.0.0.tar.gz
Windows binaries: r-devel: classmap_1.0.0.zip, r-release: classmap_1.0.0.zip, r-oldrel: classmap_1.0.0.zip
macOS binaries: r-release (arm64): classmap_1.0.0.tgz, r-release (x86_64): classmap_1.0.0.tgz, r-oldrel: classmap_1.0.0.tgz

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