Learn R Programming

customizedTraining

Customized Training for Lasso and Elastic-Net Regularized Generalized Linear Models

This R package includes functions for fitting customized training from Powers et al. (2015).

Copy Link

Version

Install

install.packages('customizedTraining')

Monthly Downloads

124

Version

1.3

License

GPL-2

Maintainer

Scott Powers

Last Published

January 8th, 2025

Functions in customizedTraining (1.3)

predict.cv.customizedGlmnet

Make predictions from a cv.customizedGlmnet object
nonzero.customizedGlmnet

Return selected variables from a customizedGlmnet object
predict.singleton

Make predictions from a ``singleton'' object
customizedGlmnet

Fit glmnet using customized training
print.cv.customizedGlmnet

Print a ``cv.customizedGlmnet'' object
Vowel

Vowel Recognition
print.customizedGlmnet

Print the summary of a fitted customizedGlmnet object
predict.customizedGlmnet

Make predictions from a customizedGlmnet object
cv.customizedGlmnet

Cross validation for customizedGlmnet
nonzero

Return selected variables
plot.cv.customizedGlmnet

Visualize variables selected in each customized training subset, from a cross-validated model
plot.customizedGlmnet

Visualize variables selected in each customized training subset
nonzero.singleton

Return selected variables from a singleton object