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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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Install
install.packages('SCGLR')
Monthly Downloads
198
Version
1.2
License
CeCILL-2 | GPL-2
Maintainer
Guillaume Cornu
Last Published
March 18th, 2014
Functions in SCGLR (1.2)
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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.