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 Cornu ORCID iD [aut, cre], Frederic Mortier ORCID iD [aut], Catherine Trottier [aut], Xavier Bry [aut], Jocelyn Chauvet ORCID iD [aut], Sylvie Gourlet-Fleury ORCID iD [dtc] (Projet CoForChange <https://coforchange.cirad.fr>), Claude Garcia ORCID 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.pdf

Downloads:

Package source: SCGLR_3.1.0.tar.gz
Windows binaries: r-devel: SCGLR_3.1.0.zip, r-release: SCGLR_3.0.zip, r-oldrel: SCGLR_3.0.zip
macOS binaries: r-devel (arm64): SCGLR_3.1.0.tgz, r-release (arm64): SCGLR_3.1.0.tgz, r-oldrel (arm64): SCGLR_3.1.0.tgz, r-devel (x86_64): 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

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