Visualizing Class Specific Heterogeneous Tendencies in Categorical Data

Provides 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. Methods used in the package are described in Mariko Takagishi and Michel van de Velden (2022).


Reference manual

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install.packages("mccca")

2.4 by Mariko Takagishi, 3 months ago


Browse source code at https://github.com/cran/mccca


Authors: Mariko Takagishi [aut, cre]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports magic, stringr, ggplot2, gridExtra, wordcloud, RColorBrewer, stats, utils, colorspace, clusterSim, MASS, grDevices, Rcpp

Linking to Rcpp, RcppArmadillo


See at CRAN