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.

Getting started

Package details

AuthorGuillaume Cornu [aut, cre] (<https://orcid.org/0000-0002-7523-5176>), Frederic Mortier [aut], Catherine Trottier [aut], Xavier Bry [aut], Sylvie Gourlet-Fleury [dtc] (<https://orcid.org/0000-0002-1136-4307>, http://www.coforchange.eu/), Claude Garcia [dtc] (<https://orcid.org/0000-0002-7351-0226>, http://www.cofortips.org/)
MaintainerGuillaume Cornu <[email protected]>
LicenseCeCILL-2 | GPL-2
Version3.0
URL https://scnext.github.io/SCGLR https://github.com/SCnext/SCGLR https://cran.r-project.org/package=SCGLR
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("SCGLR")

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SCGLR documentation built on May 1, 2019, 8 p.m.