jeffwong/glmnet: 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.

Getting started

Package details

AuthorJerome Friedman, Trevor Hastie, Rob Tibshirani
MaintainerTrevor Hastie <hastie@stanford.edu>
LicenseGPL-2
Version1.9-5
URL http://www.jstatsoft.org/v33/i01/.
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("jeffwong/glmnet")
jeffwong/glmnet documentation built on May 19, 2019, 4:02 a.m.