Other packages > Find by keyword >

glmnet  

Lasso and Elastic-Net Regularized Generalized Linear Models
View on CRAN: Click here


Download and install glmnet package within the R console
Install from CRAN:
install.packages("glmnet")

Install from Github:
library("remotes")
install_github("cran/glmnet")

Install by package version:
library("remotes")
install_version("glmnet", "4.1-10")



Attach the package and use:
library("glmnet")
Maintained by
Trevor Hastie
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2008-06-02
Latest Update: 2025-07-17
Description:
Extremely efficient procedures for fitting the entire lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models, Poisson regression, Cox model, multiple-response Gaussian, and the grouped multinomial regression; see and . There are two new and important additions. The family argument can be a GLM family object, which opens the door to any programmed family (). This comes with a modest computational cost, so when the built-in families suffice, they should be used instead. The other novelty is the relax option, which refits each of the active sets in the path unpenalized. The algorithm uses cyclical coordinate descent in a path-wise fashion, as described in the papers cited.
How to cite:
Trevor Hastie (2008). glmnet: Lasso and Elastic-Net Regularized Generalized Linear Models. R package version 4.1-10, https://cran.r-project.org/web/packages/glmnet. Accessed 25 Jun. 2026.
Previous versions and publish date:
1.1-1 (2008-06-27 08:35), 1.1-2 (2008-12-23 09:02), 1.1-3 (2009-01-24 11:12), 1.1-4 (2009-12-18 17:36), 1.1-5 (2010-01-31 11:11), 1.1 (2008-06-02 09:00), 1.2 (2010-04-04 17:43), 1.3 (2010-04-25 09:26), 1.4 (2010-06-16 17:35), 1.5.1 (2010-11-19 08:33), 1.5.2 (2011-02-07 10:50), 1.5.3 (2011-03-01 01:04), 1.5 (2010-11-04 21:16), 1.6 (2011-04-24 08:08), 1.7.1 (2011-09-23 13:45), 1.7.3 (2012-02-19 10:12), 1.7.4 (2012-04-27 08:02), 1.7 (2011-06-15 20:50), 1.8-2 (2012-10-02 08:20), 1.8-4 (2012-12-27 23:11), 1.8-5 (2013-01-04 09:21), 1.8 (2012-07-03 19:50), 1.9-1 (2013-02-10 20:17), 1.9-3 (2013-03-02 08:14), 1.9-5 (2013-08-04 02:09), 1.9-8 (2014-05-24 22:49), 2.0-1 (2015-04-08 11:12), 2.0-2 (2015-04-12 00:56), 2.0-3 (2016-02-23 07:18), 2.0-4 (2016-03-13 11:29), 2.0-5 (2016-03-17 14:00), 2.0-8 (2017-04-30 09:02), 2.0-9 (2017-05-02 22:39), 2.0-10 (2017-05-06 08:23), 2.0-12 (2017-09-13 19:35), 2.0-13 (2017-09-22 07:43), 2.0-16 (2018-04-02 14:06), 2.0-18 (2019-05-20 07:10), 3.0-1 (2019-11-15 07:50), 3.0-2 (2019-12-11 18:00), 3.0 (2019-11-09 11:20), 4.0-2 (2020-06-16 02:00), 4.0 (2020-05-14 19:30), 4.1-1 (2021-02-21 18:40), 4.1-2 (2021-06-24 08:30), 4.1-3 (2021-11-02 19:50), 4.1-4 (2022-04-15 11:22), 4.1-6 (2022-11-27 23:10), 4.1-7 (2023-03-23 02:40), 4.1-8 (2023-08-22 05:10), 4.1-9 (2025-06-02 12:30), 4.1-10 (2025-07-17 06:50), 4.1 (2021-01-11 09:00)
Other packages that cited glmnet R package
View glmnet citation profile
Other R packages that glmnet depends, imports, suggests or enhances
Complete documentation for glmnet
Functions, R codes and Examples using the glmnet R package
Some associated functions: BinomialExample . Cindex . CoxExample . MultiGaussianExample . MultinomialExample . PoissonExample . QuickStartExample . SparseExample . assess.glmnet . beta_CVX . bigGlm . cox.fit . cox.path . cox_obj_function . coxgrad . coxnet.deviance . cv.glmnet . dev_function . deviance.glmnet . elnet.fit . fid . get_cox_lambda_max . get_eta . get_start . glmnet-internal . glmnet-package . glmnet.control . glmnet.fit . glmnet.measures . glmnet . glmnet.path . makeX . mycoxph . mycoxpred . na.replace . obj_function . pen_function . plot.cv.glmnet . plot.glmnet . predict.cv.glmnet . predict.glmnet . predict.glmnetfit . print.cv.glmnet . print.glmnet . response.coxnet . rmult . stratifySurv . survfit.coxnet . survfit.cv.glmnet . use.cox.path . weighted_mean_sd . 
Some associated R codes: Cindex.R . RcppExports.R . assess.coxnet.R . assess.glmnet.R . auc.R . auc.mat.R . bigGlm.R . blend.relaxed.R . buildPredmat.array.R . buildPredmat.coxnetlist.R . buildPredmat.default.R . check.dots.R . check.exclude.R . coef.cv.glmnet.R . coef.cv.relaxed.R . coef.glmnet.R . coef.relaxed.R . coefnorm.R . confusion.glmnet.R . coxgrad.R . coxnet.R . coxnet.deviance.R . coxpath.R . cv.coxnet.R . cv.elnet.R . cv.fishnet.R . cv.glmnet.R . cv.glmnet.raw.R . cv.glmnetfit.R . cv.lognet.R . cv.mrelnet.R . cv.multnet.R . cv.relaxed.raw.R . cvcompute.R . cvstats.R . cvtype.R . data.R . deviance.glmnet.R . elnet.R . error.bars.R . family.glmnet.R . fishnet.R . fix.lam.R . getOptcv.glmnet.R . getOptcv.relaxed.R . getcoef.R . getcoef.multinomial.R . glmnet-package.R . glmnet.R . glmnet.control.R . glmnet.measures.R . glmnetFlex.R . glmnet_softmax.R . jerr.R . jerr.coxnet.R . jerr.elnet.R . jerr.fishnet.R . jerr.lognet.R . jerr.mrelnet.R . lambda.interp.R . lognet.R . makeX.R . mrelnet.R . na.mean.R . nonzeroCoef.R . onAttach.R . pb.R . plot.cv.glmnet.R . plot.cv.relaxed.R . plot.glmnet.R . plot.mrelnet.R . plot.multnet.R . plot.relaxed.R . plotCoef.R . predict.coxnet.R . predict.cv.glmnet.R . predict.cv.relaxed.R . predict.elnet.R . predict.fishnet.R . predict.glmnet.R . predict.lognet.R . predict.mrelnet.R . predict.multnet.R . predict.relaxed.R . print.bigGlm.R . print.confusion.table.R . print.cv.glmnet.R . print.cv.relaxed.R . print.glmnet.R . relax.glmnet.R . response.coxnet.R . rmult.R . roc.glmnet.R . stratifySurv.R . survfit.coxnet.R . survfit.cv.glmnet.R . zeromat.R .  Full glmnet package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

edeaR  
Exploratory and Descriptive Event-Based Data Analysis
Exploratory and descriptive analysis of event based data. Provides methods for describing and select ...
Download / Learn more Package Citations See dependency  
sitmo  
Parallel Pseudo Random Number Generator (PPRNG) 'sitmo' Header Files
Provided within are two high quality and fast PPRNGs that may be used in an 'OpenMP' parallel enviro ...
Download / Learn more Package Citations See dependency  
airGRiwrm  
'airGR' Integrated Water Resource Management
Semi-distributed Precipitation-Runoff Modelling based on 'airGR' package models integrating human i ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
foster  
Forest Structure Extrapolation with R
Set of tools to streamline the modeling of the relationship betweensatellite imagery time series or ...
Download / Learn more Package Citations See dependency  

27,535

R Packages

236,180

Dependencies

73,223

Author Associations

27,536

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA