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
Depends: R (≥ 4.1.0)
Imports: magic, stringr, ggplot2, wordcloud, RColorBrewer, stats, utils, grDevices, Rcpp (≥ 1.0.9)
LinkingTo: Rcpp, RcppArmadillo
Published: 2022-11-28
Author: Mariko Takagishi [aut, cre]
Maintainer: Mariko Takagishi <m.takagishi0728 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: mccca results


Reference manual: mccca.pdf


Package source: mccca_1.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mccca_1.1.0.tgz, r-oldrel (arm64): mccca_1.1.0.tgz, r-release (x86_64): mccca_1.1.0.tgz, r-oldrel (x86_64): mccca_1.1.0.tgz
Old sources: mccca archive


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