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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 depends: | GroupBN |
Reverse imports: | ClustOfVar, gspcr, MultivariateAnalysis, vimpclust |
Reverse suggests: | CAST |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.