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SCGLR: Supervised Component Generalized Linear Regression

An extension of the Fisher Scoring Algorithm to combine PLS regression with GLM estimation in the multivariate context. Covariates can also be grouped in themes.

Version:3.1.0
Depends:R (≥ 3.0.0)
Imports:Matrix,Formula, graphics,ggplot2 (≥ 3.0.0), grid,pROC (≥1.9),ade4,rlang,pls
Suggests:future,future.apply,progressr
Published:2025-03-26
DOI:10.32614/CRAN.package.SCGLR
Author:Guillaume CornuORCID iD [aut, cre], Frederic MortierORCID iD [aut], Catherine Trottier [aut], Xavier Bry [aut], Jocelyn ChauvetORCID iD [aut], Sylvie Gourlet-FleuryORCID iD [dtc] (Projet CoForChange <https://coforchange.cirad.fr>), Claude GarciaORCID iD [dtc] (Projet CoForTips <https://www.cofortips.org>), GAMBAS [fnd] (<https://gambas.cirad.fr>)
Maintainer:Guillaume Cornu <gcornu at cirad.fr>
BugReports:https://github.com/SCnext/SCGLR/issues
License:CeCILL-2 |GPL-2
URL:https://scnext.github.io/SCGLR/,https://github.com/scnext/SCGLR,https://cran.r-project.org/package=SCGLR
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:SCGLR results

Documentation:

Reference manual:SCGLR.html ,SCGLR.pdf

Downloads:

Package source: SCGLR_3.1.0.tar.gz
Windows binaries: r-devel:SCGLR_3.1.0.zip, r-release:SCGLR_3.1.0.zip, r-oldrel:SCGLR_3.1.0.zip
macOS binaries: r-release (arm64):SCGLR_3.1.0.tgz, r-oldrel (arm64):SCGLR_3.1.0.tgz, r-release (x86_64):SCGLR_3.1.0.tgz, r-oldrel (x86_64):SCGLR_3.1.0.tgz
Old sources: SCGLR archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=SCGLRto link to this page.


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