Man pages for easy.glmnet
Functions to Simplify the Use of 'glmnet' for Machine Learning
| 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 |
| 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 |
| impute.glmnet.matrix | Impute missing variables in a glmnet matrix multiple times |
| surv2binary | Convert a "Surv" object into binary variables at different... |
