lars: Least Angle Regression, Lasso and Forward Stagewise

Efficient procedures for fitting an entire lasso sequence with the cost of a single least squares fit. Least angle regression and infinitesimal forward stagewise regression are related to the lasso, as described in the paper below.

Version: 1.3
Depends: R (≥ 2.10)
Published: 2022-04-13
DOI: 10.32614/CRAN.package.lars
Author: Trevor Hastie and Brad Efron
Maintainer: Trevor Hastie <hastie at>
License: GPL-2
NeedsCompilation: yes
In views: MachineLearning
CRAN checks: lars results


Reference manual: lars.pdf


Package source: lars_1.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): lars_1.3.tgz, r-oldrel (arm64): lars_1.3.tgz, r-release (x86_64): lars_1.3.tgz, r-oldrel (x86_64): lars_1.3.tgz
Old sources: lars archive

Reverse dependencies:

Reverse depends: changepointsVar, cumSeg, ebreg, elasticnet, FeaLect, gamlss.lasso, gwrr, monomvn, mrMLM, mrMLM.GUI, OTRselect, PAGWAS, pfa, rRAP, scalreg, sealasso, sisVIVE
Reverse imports: Cascade, chemometrics, CureAuxSP, DisaggregateTS, facmodTS, FindIt, GGMselect, lassopv, mcb, PACLasso, pathwayPCA, Patterns, perryExamples, plsRcox, QTL.gCIMapping, RobMixReg, RXshrink, SelectBoost, spikeslab, SPSP, TSdisaggregation
Reverse suggests: directlabels, flowml, fscaret, glmnet, islasso, knockoff, Libra, MachineShop, quadrupen, robustHD, scout, stabs


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