CRAN/E | classmap

classmap

Visualizing Classification Results

Installation

About

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, . 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".

doi.org/10.1080/00401706.2021.1927849
arxiv.org/abs/2106.08814

Key Metrics

Version 1.2.3
R ≥ 4.1.0
Published 2023-04-23 368 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks classmap results

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Maintainer

Maintainer

Jakob Raymaekers

jakob.raymaekers@kuleuven.be

Authors

Jakob Raymaekers

aut / cre

Peter Rousseeuw

aut

Material

Reference manual
Package source

Vignettes

Discriminant_analysis_examples
K_nearest_neighbors_examples
Neural_net_examples
Random_forest_examples
Rpart_examples
Support_vector_machine_examples

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

classmap archive

Depends

R ≥ 4.1.0

Imports

stats
graphics
ggplot2
robustbase
e1071
cellWise
cluster
kernlab
gridExtra
rpart
randomForest

Suggests

knitr
reshape2
svd
rpart.plot
nnet
robCompositions