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 [aut, cre], Frederic Mortier [aut], Catherine Trottier [aut], Xavier Bry [aut], Jocelyn Chauvet [aut], Sylvie Gourlet-Fleury [dtc] (Projet CoForChange <https://coforchange.cirad.fr>), Claude Garcia [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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=SCGLR to link to this page.
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