MultiGroupO: MultiGroup Method and Simulation Data Analysis

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 ORCID iD [aut], Ferran Reverter ORCID iD [aut]
Maintainer: Carolina Millap/'an <cayoya19 at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: MultiGroupO results

Documentation:

Reference manual: MultiGroupO.pdf
Vignettes: Real Datasets Application
MultiGroupO vignette

Downloads:

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-release (x86_64): MultiGroupO_0.1.0.tgz, r-oldrel: not available

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