Use the lasso regression method to perform approximate inference in high dimensions, by penalizing the effects of nuisance parameters.
| Version: | 0.6 |
| Depends: | R (≥ 2.10), glasso, glmnet, Matrix |
| Suggests: | covTest, lars |
| Published: | 2014-10-28 |
| Author: | Arie Voorman |
| Maintainer: | Arie Voorman <arie.voorman at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | lassoscore results |
| Reference manual: | lassoscore.pdf |
| Package source: | lassoscore_0.6.tar.gz |
| Windows binaries: | r-devel: lassoscore_0.6.zip, r-release: lassoscore_0.6.zip, r-oldrel: lassoscore_0.6.zip |
| macOS binaries: | r-release: lassoscore_0.6.tgz, r-oldrel: lassoscore_0.6.tgz |
| Old sources: | lassoscore archive |
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