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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.1.0 by Carolina Millap/'an, 16 days ago

Browse source code at

Authors: Carolina Millap/'an [aut, cre] , Esteban Vegas [aut] , Ferran Reverter [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports mvtnorm, rlist, expm, stats, ggplot2, gridExtra, cowplot, plsgenomics, gplots, ggrepel, qgraph, mgm

Suggests knitr, rmarkdown

See at CRAN