SCGLR: Supervised Component Generalized Linear Regression (SCGLR)

SCGLR extends the Fisher Scoring Algorithm so as to combine PLS regression with GLM estimation in the multivariate context.

Version: 2.0.1
Depends: R (≥ 3.0.0)
Imports: Matrix, Formula, expm, graphics, ggplot2, grid, ROCR
Suggests: parallel, gridExtra, knitr
Published: 2014-10-14
Author: Mortier F., Trottier C., Cornu G., Bry X.
Maintainer: "G. Cornu" <gcornu at cirad.fr>
Contact: "F. Mortier" <fmortier@cirad.fr> and "G. Cornu" <gcornu@cirad.fr> and "C. Trottier" <catherine.trottier@univ-montp3.fr> and "X. Bry" <xavier.bry@univ-montp2.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_2.0.1.tar.gz
Windows binaries: r-devel: SCGLR_2.0.1.zip, r-release: SCGLR_2.0.1.zip, r-oldrel: SCGLR_2.0.1.zip
OS X Snow Leopard binaries: r-release: SCGLR_2.0.1.tgz, r-oldrel: SCGLR_2.0.1.tgz
OS X Mavericks binaries: r-release: SCGLR_2.0.1.tgz
Old sources: SCGLR archive