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: | 1.2 |
| Depends: | R (≥ 2.10) |
| Published: | 2013-04-24 |
| Author: | Trevor Hastie and Brad Efron |
| Maintainer: | Trevor Hastie <hastie at stanford.edu> |
| License: | GPL-2 |
| URL: | http://www-stat.stanford.edu/~hastie/Papers/#LARS |
| NeedsCompilation: | yes |
| In views: | MachineLearning |
| CRAN checks: | lars results |
| Reference manual: | lars.pdf |
| Package source: | lars_1.2.tar.gz |
| Windows binaries: | r-devel: lars_1.2.zip, r-release: lars_1.2.zip, r-oldrel: lars_1.2.zip |
| OS X Snow Leopard binaries: | r-release: lars_1.2.tgz, r-oldrel: lars_1.2.tgz |
| OS X Mavericks binaries: | r-release: lars_1.2.tgz |
| Old sources: | lars archive |
| Reverse depends: | AdapEnetClass, aml, BayesPen, branchLars, chemometrics, covTest, cumSeg, elasticnet, ExactPath, FindIt, GGMselect, gwrr, lmbc, monomvn, multiPIM, PAGWAS, pass, relaxo, RXshrink, scalreg, scout, sealasso, sparseLDA, spikeslab |
| Reverse imports: | CorReg, FindIt, plsRcox |
| Reverse suggests: | ChemometricsWithR, COBRA, directlabels, dna, ElemStatLearn, fscaret, lassoscore |