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mccca
View on CRAN: Click
here
Download and install mccca package within the R console
Install from CRAN:
install.packages("mccca")
Install from Github:
library("remotes")
install_github("cran/mccca")
Install by package version:
library("remotes")
install_version("mccca", "1.1.0.1")
Attach the package and use:
library("mccca")
Maintained by
Mariko Takagishi
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-01-06
Latest Update: 2022-11-28
Description:
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).
How to cite:
Mariko Takagishi (2022). mccca: Visualizing Class Specific Heterogeneous Tendencies in Categorical Data. R package version 1.1.0.1, https://cran.r-project.org/web/packages/mccca. Accessed 03 May. 2025.
Previous versions and publish date:
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Other R packages that mccca depends,
imports, suggests or enhances
Complete documentation for mccca
Functions, R codes and Examples using
the mccca R package
Some associated functions: MCCCA . create.MCCCAdata . create.prop . generate.cate.list . generate.catecls . generate.ext . generate.onedata . plot.mccca .
Some associated R codes: MCCCA.func.R . RcppExports.R . create.MCCCAdata.func.R . create.prop.func.R . dummy.ed.func.R . generate.cate.func.R . generate.catecls.func.R . generate.ext.func.R . generate.onedata.func.R . globals.R . obj.MCCCA.func.R . plot.MCCCA.func.R . split.data.byext.comb.func.R . textplot.cord.R . updateUG.MCCCA.func.R . various.func.R . Full mccca package functions and examples
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