PCAmixdata: Multivariate Analysis of Mixed Data

Implements principal component analysis, orthogonal rotation and multiple factor analysis for a mixture of quantitative and qualitative variables.

Version: 3.1
Imports: graphics
Suggests: knitr, rmarkdown
Published: 2017-10-23
DOI: 10.32614/CRAN.package.PCAmixdata
Author: Marie Chavent [aut, cre], Vanessa Kuentz [aut], Amaury Labenne [aut], Benoit Liquet [aut], Jerome Saracco [aut]
Maintainer: Marie Chavent <Marie.Chavent at u-bordeaux.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]
NeedsCompilation: no
CRAN checks: PCAmixdata results


Reference manual: PCAmixdata.pdf
Vignettes: How to Use the PCAmixdata Package
Supplementary Observations, Variables or Groups


Package source: PCAmixdata_3.1.tar.gz
Windows binaries: r-devel: PCAmixdata_3.1.zip, r-release: PCAmixdata_3.1.zip, r-oldrel: PCAmixdata_3.1.zip
macOS binaries: r-release (arm64): PCAmixdata_3.1.tgz, r-oldrel (arm64): PCAmixdata_3.1.tgz, r-release (x86_64): PCAmixdata_3.1.tgz, r-oldrel (x86_64): PCAmixdata_3.1.tgz
Old sources: PCAmixdata archive

Reverse dependencies:

Reverse depends: GroupBN
Reverse imports: ClustOfVar, gspcr, MultivariateAnalysis, vimpclust
Reverse suggests: CAST


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