Model selection for the (possibly high-dimensional) linear regression model with Lasso-Zero, an L1-based methodology relying on the repeated use of noise dictionaries, as described by Descloux, P. and Sardy, S. (2018) <arXiv:1805.05133>.
| Version: | 1.1.0 |
| Depends: | stats, graphics |
| Imports: | lpSolve (≥ 5.6.13), ismev (≥ 1.42), foreach (≥ 1.4.4), doRNG (≥ 1.7.1) |
| Published: | 2019-12-18 |
| Author: | Pascaline Descloux, Sylvain Sardy |
| Maintainer: | Pascaline Descloux <pascaline.descloux at unige.ch> |
| License: | GPL-2 |
| URL: | http://arxiv.org/abs/1805.05133 |
| NeedsCompilation: | no |
| CRAN checks: | lass0 results |
| Reference manual: | lass0.pdf |
| Package source: | lass0_1.1.0.tar.gz |
| Windows binaries: | r-devel: lass0_1.1.0.zip, r-release: lass0_1.1.0.zip, r-oldrel: lass0_1.1.0.zip |
| macOS binaries: | r-release: lass0_1.1.0.tgz, r-oldrel: lass0_1.1.0.tgz |
| Old sources: | lass0 archive |
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