MBAnalysis: Multiblock Exploratory and Predictive Data Analysis

Exploratory and predictive methods for the analysis of several blocks of variables measured on the same individuals. The methods included are: Multiblock Principal Components Analysis (MB-PCA), Common Dimensions analysis (ComDim), Multiblock Partial Least Squares (MB-PLS) regression and Multiblock Weighted Covariate analysis (MB-WCov). E. Tchandao Mangamana, V. Cariou, E. Vigneau, R. Glèlè Kakaï, E.M. Qannari (2019) <doi:10.1016/j.chemolab.2019.103856>; E. Tchandao Mangamana, R. Glèlè Kakaï, E.M. Qannari (2021) <doi:10.1016/j.chemolab.2021.104388>.

Version: 0.1.0
Imports: ggplot2, ggrepel
Published: 2021-09-20
Author: Essomanda Tchandao Mangamana [aut, cre], Véronique Cariou [aut], Evelyne Vigneau [aut]
Maintainer: Essomanda Tchandao Mangamana <tchanesso at yahoo.fr>
License: GPL-3
NeedsCompilation: no
CRAN checks: MBAnalysis results

Documentation:

Reference manual: MBAnalysis.pdf

Downloads:

Package source: MBAnalysis_0.1.0.tar.gz
Windows binaries: r-devel: MBAnalysis_0.1.0.zip, r-release: MBAnalysis_0.1.0.zip, r-oldrel: MBAnalysis_0.1.0.zip
macOS binaries: r-release (arm64): MBAnalysis_0.1.0.tgz, r-release (x86_64): MBAnalysis_0.1.0.tgz, r-oldrel: MBAnalysis_0.1.0.tgz

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