# glmnet v1.9-8

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