mccca: Visualizing Class Specific Heterogeneous Tendencies in Categorical Data

Performing multiple-class cluster correspondence analysis(MCCCA). The main functions are create.MCCCAdata() to create a list to be applied to MCCCA, MCCCA() to apply MCCCA, and plot.mccca() for visualizing MCCCA result. Methods used in the package refers to Mariko Takagishi and Michel van de Velden (2022)<doi:10.1080/10618600.2022.2035737>.

Version: 0.1.1
Depends: R (≥ 4.1.0)
Imports: magic, stringr, ggplot2, wordcloud, RColorBrewer, stats, utils, grDevices
Published: 2022-09-07
Author: Mariko Takagishi [aut, cre]
Maintainer: Mariko Takagishi <m.takagishi0728 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: mccca results

Documentation:

Reference manual: mccca.pdf

Downloads:

Package source: mccca_0.1.1.tar.gz
Windows binaries: r-devel: mccca_0.1.1.zip, r-release: mccca_0.1.1.zip, r-oldrel: mccca_0.1.1.zip
macOS binaries: r-release (arm64): mccca_0.1.1.tgz, r-oldrel (arm64): mccca_0.1.1.tgz, r-release (x86_64): mccca_0.1.1.tgz, r-oldrel (x86_64): mccca_0.1.1.tgz
Old sources: mccca archive

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