# glmnet v1.9-3

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## Lasso and elastic-net regularized generalized linear models

Extremely efficient procedures for fitting the entire lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models, poisson regression and the Cox model. Two recent additions are the multiresponse gaussian, and the grouped multinomial. The algorithm uses cyclical coordinate descent in a pathwise fashion, as described in the paper listed below.

## Functions in glmnet

 Name Description deviance.glmnet Extract the deviance from a glmnet object glmnet-internal Internal glmnet functions predict.cv.glmnet make predictions from a "cv.glmnet" object. glmnet.control internal glmnet parameters print.glmnet print a glmnet object glmnet-package Elastic net model paths for some generalized linear models predict.glmnet make predictions from a "glmnet" object. plot.cv.glmnet plot the cross-validation curve produced by cv.glmnet glmnet fit a GLM with lasso or elasticnet regularization cv.glmnet Cross-validation for glmnet plot.glmnet plot coefficients from a "glmnet" object No Results!