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.

AuthorGuillaume Cornu [cre, aut], Frederic Mortier [aut], Catherine Trottier [aut], Xavier Bry [aut]
Date of publication2016-03-16 18:16:10
MaintainerGuillaume Cornu <gcornu@cirad.fr>
LicenseCeCILL-2 | GPL-2
Version2.0.3

View on CRAN

Files in this package

SCGLR
SCGLR/inst
SCGLR/inst/examples
SCGLR/inst/examples/exPlots.r
SCGLR/inst/examples/exScglr.r
SCGLR/inst/examples/exPrediction.r
SCGLR/inst/examples/exCrossVal.r
SCGLR/inst/doc
SCGLR/inst/doc/scglrVignettes.pdf
SCGLR/inst/doc/scglrVignettes.R
SCGLR/inst/doc/scglrVignettes.rnw
SCGLR/NAMESPACE
SCGLR/demo
SCGLR/demo/scglrPlots.r
SCGLR/demo/scglrPrediction.r
SCGLR/demo/scglrCrossVal.r
SCGLR/demo/scglr.r
SCGLR/demo/00Index
SCGLR/NEWS
SCGLR/data
SCGLR/data/genus.rda
SCGLR/R
SCGLR/R/f2x.r
SCGLR/R/oneComponent.r
SCGLR/R/multivariateGlm.r
SCGLR/R/plot.r
SCGLR/R/customize.r
SCGLR/R/package.r
SCGLR/R/infoCriterion.r
SCGLR/R/print.r
SCGLR/R/ingUtils.r
SCGLR/R/critConvergence.r
SCGLR/R/utils.r
SCGLR/R/scglrCrossVal.r
SCGLR/R/summary.r
SCGLR/R/multivariateFormula.r
SCGLR/R/scglr.r
SCGLR/R/multivariatePredictGlm.r
SCGLR/R/methods.r
SCGLR/R/metric.r
SCGLR/R/multivariateGlm.fit.r
SCGLR/R/data.r
SCGLR/R/kComponents.r
SCGLR/vignettes
SCGLR/vignettes/bibScglr.bib
SCGLR/vignettes/scglrVignettes.rnw
SCGLR/MD5
SCGLR/build
SCGLR/build/vignette.rds
SCGLR/DESCRIPTION
SCGLR/man
SCGLR/man/summary.SCGLR.Rd SCGLR/man/critConvergence.Rd SCGLR/man/infoCriterion.Rd SCGLR/man/multivariateGlm.Rd SCGLR/man/scglr-package.Rd SCGLR/man/print.SCGLR.Rd SCGLR/man/customize.Rd SCGLR/man/barplot.SCGLR.Rd SCGLR/man/method.Rd SCGLR/man/genus.Rd SCGLR/man/multivariateFormula.Rd SCGLR/man/scglr.Rd SCGLR/man/multivariatePredictGlm.Rd SCGLR/man/plot.SCGLR.Rd SCGLR/man/scglrCrossVal.Rd SCGLR/man/pairs.SCGLR.Rd

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