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 |
| 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 El Capitan binaries: | r-release: biglars_1.0.2.tgz |
| OS X Mavericks binaries: | r-oldrel: biglars_1.0.2.tgz |
| Old sources: | biglars archive |
Please use the canonical form https://CRAN.R-project.org/package=biglars to link to this page.