Functions to Simplify the Use of 'glmnet' for Machine Learning

Documentation for package ‘easy.glmnet’ version 1.0

assign.folds	Assign observations to folds in a balanced way
cv	Conduct cross-validation
data.frame2glmnet.matrix	Convert a data.frame into a matrix ready for glmnet
data.frame2glmnet.matrix_fit	Convert a data.frame into a matrix ready for glmnet
glmnet_fit	Obtain and use a glmnet prediction model
glmnet_get.items.relevance	Get the relevance of the model items
glmnet_get.main.model	Get the main glmnet model across imputations and folds
glmnet_predict	Obtain and use a glmnet prediction model
impute.glmnet.matrix	Impute missing variables in a glmnet matrix multiple times
impute.glmnet.matrix_fit	Impute missing variables in a glmnet matrix multiple times
surv2binary	Convert a "Surv" object into binary variables at different time points