Two method new of multigroup and simulation of data. The first technique called multigroup PCA (mgPCA) this multivariate exploration approach that has the idea of considering the structure of groups and / or different types of variables. On the other hand, the second multivariate technique called Multigroup Dimensionality Reduction (MDR) it is another multivariate exploration method that is based on projections. In addition, a method called Single Dimension Exploration (SDE) was incorporated for to analyze the exploration of the data. It could help us in a better way to observe the behavior of the multigroup data with certain variables of interest.
Version: | 0.1.0 |
Imports: | mvtnorm, rlist, expm, stats, ggplot2, gridExtra, cowplot, plsgenomics, gplots, ggrepel, qgraph, mgm |
Suggests: | knitr, rmarkdown |
Published: | 2022-01-12 |
Author: | Carolina Millap/'an [aut, cre], Esteban Vegas [aut], Ferran Reverter [aut] |
Maintainer: | Carolina Millap/'an <cayoya19 at gmail.com> |
License: | GPL-3 |
NeedsCompilation: | no |
CRAN checks: | MultiGroupO results |
Reference manual: | MultiGroupO.pdf |
Vignettes: |
Real Datasets Application MultiGroupO vignette |
Package source: | MultiGroupO_0.1.0.tar.gz |
Windows binaries: | r-devel: MultiGroupO_0.1.0.zip, r-release: MultiGroupO_0.1.0.zip, r-oldrel: MultiGroupO_0.1.0.zip |
macOS binaries: | r-release (arm64): MultiGroupO_0.1.0.tgz, r-oldrel (arm64): MultiGroupO_0.1.0.tgz, r-release (x86_64): MultiGroupO_0.1.0.tgz, r-oldrel (x86_64): MultiGroupO_0.1.0.tgz |
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