glmnet (1.9-3)

7 users

Lasso and elastic-net regularized generalized linear models.

http://www.jstatsoft.org/v33/i01/.
http://cran.r-project.org/web/packages/glmnet

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.

Maintainer: Trevor Hastie
Author(s): Jerome Friedman, Trevor Hastie, Rob Tibshirani

License: GPL-2

Uses: Matrix, survival
Reverse depends: aBioMarVsuit, anoint, bigdata, bigmatrix, BigTSP, BioMark, c060, cosso, covTest, DivMelt, fastVAR, FindIt, glmnetcr, hdlm, huge, KsPlot, mht, MMS, MRCE, msr, oblique.tree, pacose, parcor, PAS, polywog, refund, relaxnet, RTextTools, RVtests, sparsenet, TextRegression
Reverse suggests: caret, grpreg, ppstat, randomForestSRC, SuperLearner

Released 3 months ago.


21 previous versions

Ratings

Overall:

  3.8/5 (4 votes)

Documentation:

  3.0/5 (3 votes)

Log in to vote.

Reviews


Related packages: BayesTree, ElemStatLearn, GAMBoost, LogicReg, ROCR, TWIX, arules, caret, e1071, earth, elasticnet, gafit, gbm, glmpath, grplasso, ipred, kernlab, klaR, lars, lasso2(20 best matches, based on common tags.)


Search for glmnet on google, google scholar, r-help, r-devel.

Visit glmnet on R Graphical Manual.