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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.
Getting started
Browse package contents
Package details |
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| Author | Mark Seligman, Chris Fraley, Tim Hesterberg |
| Maintainer | Mark Seligman <Mark.Seligman@insilicos.com> |
| License | GPL (>= 2) |
| Version | 1.0.2 |
| Package repository | View on CRAN |
| Installation |
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