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


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Documentation for package ‘easy.glmnet’ version 1.0

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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