Package: MBAnalysis
Title: Multiblock Exploratory and Predictive Data Analysis
Version: 0.1.0
Date: 2021-09-18
Authors@R: c(person(given = "Essomanda",
                    family = "Tchandao Mangamana",
                    role = c("aut", "cre"),
                    email = "tchanesso@yahoo.fr"),
             person(given = "Véronique",
                   family = "Cariou",
                   role = c("aut"),
                   email = "veronqiue.cariou@oniris-nantes.fr"),
            person(given = "Evelyne",
                  family = "Vigneau",
                  role = c("aut"),
                  email = "evelyne.vigneau@oniris-nantes.fr"))
Description: 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>.
Imports: ggplot2, ggrepel
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-09-18 08:26:02 UTC; Parfait
Author: Essomanda Tchandao Mangamana [aut, cre],
  Véronique Cariou [aut],
  Evelyne Vigneau [aut]
Maintainer: Essomanda Tchandao Mangamana <tchanesso@yahoo.fr>
Repository: CRAN
Date/Publication: 2021-09-20 09:30:06 UTC
Built: R 4.1.3; ; 2023-04-17 18:16:10 UTC; windows
