mccca: Visualizing Class Specific Heterogeneous Tendencies in Categorical Data

Functions for 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.

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: dummies, magic, parallel, stringr, ggplot2, wordcloud, RColorBrewer, methods, stats, utils, grDevices
Published: 2022-01-06
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_0.1.0.tar.gz
Windows binaries: r-devel: mccca_0.1.0.zip, r-devel-UCRT: mccca_0.1.0.zip, r-release: mccca_0.1.0.zip, r-oldrel: not available
macOS binaries: r-release (arm64): mccca_0.1.0.tgz, r-release (x86_64): mccca_0.1.0.tgz, r-oldrel: not available

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