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SCGLR (version 1.2)

Supervised Component Generalized Linear Regression (SCGLR)

Description

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

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Version

Install

install.packages('SCGLR')

Monthly Downloads

188

Version

1.2

License

CeCILL-2 | GPL-2

Maintainer

Guillaume Cornu

Last Published

March 18th, 2014

Functions in SCGLR (1.2)

plot.SCGLR

SCGLR generic plot
multivariatePredictGlm

Function that predicts the responses from the covariates for a new sample
infoCriterion

Function that calculates cross-validation selection criteria
critConvergence

Auxiliary for controlling SCGLR fitting
multivariateGlm.fit

Multivariate generalized linear regression
scglr

Function that fits the scglr model
multivariateFormula

Formula construction
pairs.SCGLR

Pairwise scglr plot on components
print.SCGLR

Print SCGLR object
barplot.SCGLR

Barplot of percent of overall X variance captured by component
summary.SCGLR

Summarizing SCGLR fits
genus

Sample dataset of abundance of genera in tropical moist forest
scglr-package

Supervised Component Generalized Linear Regression (SCGLR)
scglrCrossVal

Function that fits and selects the number of component by cross-validation.