biglars: Scalable Least-Angle Regression and Lasso

Least-angle regression, lasso and stepwise regression for numeric datasets in which the number of observations is greater than the number of predictors. The functions can be used with the ff library to accomodate datasets that are too large to be held in memory.

Version: 1.0.2
Depends: R (≥ 2.10), ff
Published: 2011-12-28
Author: Mark Seligman, Chris Fraley, Tim Hesterberg
Maintainer: Mark Seligman <Mark.Seligman at insilicos.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: ChangeLog
In views: HighPerformanceComputing
CRAN checks: biglars results

Downloads:

Reference manual: biglars.pdf
Package source: biglars_1.0.2.tar.gz
Windows binaries: r-devel: biglars_1.0.2.zip, r-release: biglars_1.0.2.zip, r-oldrel: biglars_1.0.2.zip
OS X Snow Leopard binaries: r-release: biglars_1.0.2.tgz, r-oldrel: biglars_1.0.2.tgz
OS X Mavericks binaries: r-release: biglars_1.0.2.tgz
Old sources: biglars archive