Function reference • glmnet

All functions
`Cindex()`	compute C index for a Cox model
`assess.glmnet()` `confusion.glmnet()` `roc.glmnet()`	assess performace of a 'glmnet' object using test data.
`beta_CVX`	Simulated data for the glmnet vignette
`bigGlm()`	fit a glm with all the options in `glmnet`
`coxgrad()`	compute gradient for cox model
`coxnet.deviance()`	compute deviance for cox model output
`cv.glmnet()`	Cross-validation for glmnet
`deviance(<glmnet>)`	Extract the deviance from a glmnet object
`glmnet-package`	Elastic net model paths for some generalized linear models
`glmnet()` `relax.glmnet()`	fit a GLM with lasso or elasticnet regularization
`glmnet.control()`	internal glmnet parameters
`glmnet.measures()`	Display the names of the measures used in CV for different "glmnet" families
`makeX()`	convert a data frame to a data matrix with one-hot encoding
`na.replace()`	Replace the missing entries in a matrix columnwise with the entries in a supplied vector
`plot(<cv.glmnet>)` `plot(<cv.relaxed>)`	plot the cross-validation curve produced by cv.glmnet
`plot(<glmnet>)` `plot(<mrelnet>)` `plot(<multnet>)` `plot(<relaxed>)`	plot coefficients from a "glmnet" object
`predict(<cv.glmnet>)` `predict(<cv.relaxed>)`	make predictions from a "cv.glmnet" object.
`coef(<glmnet>)` `predict(<glmnet>)` `predict(<relaxed>)`	Extract coefficients from a glmnet object
`print(<cv.glmnet>)`	print a cross-validated glmnet object
`print(<glmnet>)`	print a glmnet object
`rmult()`	Generate multinomial samples from a probability matrix

Reference