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L1 regularized regression (Lasso) solver using the Cyclic Coordinate Descent algorithm aka Lasso Shooting is fast. This implementation can choose which coefficients to penalize. It support coefficient-specific penalties and it can take X'X and X'y instead of X and y.
| Version: | 0.1.5-1.1 |
| Depends: | R (≥ 2.12.0) |
| Published: | 2022-04-04 |
| Author: | Tobias Abenius |
| Maintainer: | Tobias Abenius <Tobias.Abenius at Chalmers.se> |
| License: | LGPL-3 |
| NeedsCompilation: | yes |
| Materials: | ChangeLog |
| CRAN checks: | lassoshooting results |
| Reference manual: | lassoshooting.pdf |
| Package source: | lassoshooting_0.1.5-1.1.tar.gz |
| Windows binaries: | r-devel: lassoshooting_0.1.5-1.1.zip, r-release: lassoshooting_0.1.5-1.1.zip, r-oldrel: lassoshooting_0.1.5-1.1.zip |
| macOS binaries: | r-release (arm64): lassoshooting_0.1.5-1.1.tgz, r-oldrel (arm64): lassoshooting_0.1.5-1.1.tgz, r-release (x86_64): lassoshooting_0.1.5-1.1.tgz, r-oldrel (x86_64): lassoshooting_0.1.5-1.1.tgz |
| Old sources: | lassoshooting archive |
| Reverse depends: | epoc, rRAP |
| Reverse imports: | clogitLasso |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.