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.

Author
Guillaume Cornu [cre, aut], Frederic Mortier [aut], Catherine Trottier [aut], Xavier Bry [aut]
Date of publication
2016-03-16 18:16:10
Maintainer
Guillaume Cornu <gcornu@cirad.fr>
License
CeCILL-2 | GPL-2
Version
2.0.3

View on CRAN

Man pages

barplot.SCGLR
Barplot of percent of overall X variance captured by...
critConvergence
Auxiliary function for controlling SCGLR fitting
customize
Plot customization
genus
Sample dataset of abundance of genera in tropical moist...
infoCriterion
Function that calculates cross-validation selection criteria
method
Regularization criterion types
multivariateFormula
Formula construction
multivariateGlm
Multivariate generalized linear regression
multivariatePredictGlm
Function that predicts the responses from the covariates for...
pairs.SCGLR
Pairwise scglr plot on components
plot.SCGLR
SCGLR generic plot
print.SCGLR
Print SCGLR object
scglr
Function that fits the scglr model
scglrCrossVal
Function that fits and selects the number of component by...
scglr-package
Supervised Component Generalized Linear Regression
summary.SCGLR
Summarizing SCGLR fits

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