# glmnet v2.0-1

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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 multiple-response Gaussian, and the grouped multinomial. The algorithm uses cyclical coordinate descent in a path-wise fashion, as described in the paper linked to via the URL below.

## Functions in glmnet

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