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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).

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Version

Install

install.packages('customizedTraining')

Monthly Downloads

158

Version

1.2

License

GPL-2

Maintainer

Scott Powers

Last Published

January 29th, 2019

Functions in customizedTraining (1.2)

predict.singleton

make predictions from a ``singleton'' object
nonzero.customizedGlmnet

return selected variables from a customizedGlmnet object
predict.cv.customizedGlmnet

make predictions from a cv.customizedGlmnet object
cv.customizedGlmnet

cross validation for customizedGlmnet
nonzero.singleton

return selected variables from a singleton object
nonzero

return selected variables
print.cv.customizedGlmnet

print a ``cv.customizedGlmnet'' object
plot.customizedGlmnet

visualize variables selected in each customized training subset
print.customizedGlmnet

print the summary of a fitted customizedGlmnet object
plot.cv.customizedGlmnet

visualize variables selected in each customized training subset, from a cross-validated model
Vowel

Vowel Recognition
customizedGlmnet

fit glmnet using customized training
predict.customizedGlmnet

make predictions from a customizedGlmnet object