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: 1.2
Depends: R (≥ 3.0.0)
Imports: Matrix, Formula, expm, graphics, ggplot2, grid, stringr, ROCR
Suggests: parallel
Published: 2014-03-18
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
CRAN checks: SCGLR results

Downloads:

Reference manual: SCGLR.pdf
Vignettes: SCGLR Paper submitted to Journal of Statistical Software
Package source: SCGLR_1.2.tar.gz
OS X binary: SCGLR_1.2.tgz
Windows binary: SCGLR_1.2.zip
Old sources: SCGLR archive