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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: 1.1.0.1
Depends: R (≥ 4.1.0)
Imports: magic, stringr, ggplot2, wordcloud, RColorBrewer, stats, utils, grDevices, Rcpp (≥ 1.0.9)
LinkingTo: Rcpp, RcppArmadillo
Published: 2024-01-24
DOI: 10.32614/CRAN.package.mccca
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_1.1.0.1.tar.gz
Windows binaries: r-devel: mccca_1.1.0.1.zip, r-release: mccca_1.1.0.1.zip, r-oldrel: mccca_1.1.0.1.zip
macOS binaries: r-release (arm64): mccca_1.1.0.1.tgz, r-oldrel (arm64): mccca_1.1.0.1.tgz, r-release (x86_64): mccca_1.1.0.1.tgz, r-oldrel (x86_64): mccca_1.1.0.1.tgz
Old sources: mccca archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.