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: