Title: Visualizing Classification Results by Classmaps
Imports: stats, graphics, ggplot2, robustbase, e1071, cellWise,
Description: 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:

Suggests: knitr, reshape2, svd, rpart.plot, nnet
cluster, kernlab, gridExtra, rpart, randomForest
Description: 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.
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",

Suggests: knitr, reshape2, svd, rpart.plot, nnet, robCompositions
Implements the techniques described and illustrated in Raymaekers, Rousseeuw and Hubert (2021), Class maps for visualizing classification results, Technometrics, appeared online.
<arXiv:2106.08814>. Examples can be found in the vignettes:

Title: Robust multivariate classification using highly optimised SVM
Author: Eleni Chatzimichali <ea.chatzimichali@gmail.com> and Conrad Bessant <c.bessant@qmul.ac.uk>
Description: A collection of functions for the creation and application of highly optimised, robustly evaluated ensembles of support vector machines (SVMs). The package takes care of training individual SVM classifiers using a fast parallel heuristic algorithm, and combines individual classifiers into ensembles. Robust metrics of classification performance are offered by bootstrap resampling and permutation testing.
Imports: ggplot2 (>= 1.0-0), optimbase (>= 1.0-9)
Packaged: 2014-09-04 19:01:20 UTC; elenachatzimichali