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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 |
| 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.