SCGLR: Supervised Component Generalized Linear Regression

The Fisher Scoring Algorithm is extended so as to combine Partial Least Squares regression with Generalized Linear Model estimation in the multivariate context.

Version: 2.0.3
Depends: R (≥ 3.0.0)
Imports: Matrix, Formula, expm, graphics, grid, ggplot2 (≥ 2.0.0), pROC, scales
Suggests: parallel, gridExtra, knitr
Published: 2016-03-16
Author: Guillaume Cornu [cre, aut], Frederic Mortier [aut], Catherine Trottier [aut], Xavier Bry [aut]
Maintainer: Guillaume Cornu <gcornu at cirad.fr>
License: CeCILL-2 | GPL-2
NeedsCompilation: no
Materials: NEWS
CRAN checks: SCGLR results

Downloads:

Reference manual: SCGLR.pdf
Vignettes: Introduction to SCGLR
Package source: SCGLR_2.0.3.tar.gz
Windows binaries: r-devel: SCGLR_2.0.3.zip, r-release: SCGLR_2.0.3.zip, r-oldrel: SCGLR_2.0.3.zip
OS X Mavericks binaries: r-release: SCGLR_2.0.3.tgz, r-oldrel: SCGLR_2.0.3.tgz
Old sources: SCGLR archive