Supervised Component Generalized Linear Regression
Barplot of percent of overall X variance captured by component
Barplot of percent of overall X variance captured by component
$ operator for multivariate formula
Auxiliary function for controlling SCGLR fitting
Plot customization
Function that calculates cross-validation selection criteria
Regularization criterion types
Formula construction
Multivariate generalized linear regression
Function that predicts the responses from the covariates for a new sam...
Pairwise scglr plot on components
SCGLR generic plot
SCGLRTHM generic plot
print a multivariate formula
Print SCGLR object
Function that fits the scglr model
Function that fits and selects the number of component by cross-valida...
Function that fits the theme model
Theme Backward selection
Screeplot of percent of overall X variance captured by component
Screeplot of percent of overall X variance captured by component
Summarizing SCGLR fits
An extension of the Fisher Scoring Algorithm to combine PLS regression with GLM estimation in the multivariate context. Covariates can also be grouped in themes.
Useful links