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

Documentation:

Reference manual:	PCAmixdata.html , PCAmixdata.pdf
Vignettes:	How to Use the PCAmixdata Package (source, R code) Supplementary Observations, Variables or Groups (source, R code)

Downloads:

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, ModStatR

Linking:

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