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: 2.0.2
Depends: R (≥ 3.0.0)
Imports: Matrix, Formula, expm, graphics, ggplot2, grid, pROC
Suggests: parallel, gridExtra, knitr
Published: 2015-02-16
Author: Guillaume Cornu [cre, aut], Frederic Mortier [aut], Catherine Trottier [aut], Xavier Bry [aut]
Maintainer: Guillaume Cornu <gcornu at>
License: CeCILL-2 | GPL-2
NeedsCompilation: no
Materials: NEWS
CRAN checks: SCGLR results


Reference manual: SCGLR.pdf
Vignettes: Introduction to SCGLR
Package source: SCGLR_2.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: SCGLR_2.0.2.tgz, r-oldrel: SCGLR_2.0.2.tgz
OS X Mavericks binaries: r-release: SCGLR_2.0.2.tgz
Old sources: SCGLR archive