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Implements the bolasso algorithm for consistent variable selection and estimation accuracy. Includes support for many parallel backends via the future package. For details see: Bach (2008), 'Bolasso: model consistent Lasso estimation through the bootstrap', <doi:10.48550/arXiv.0804.1302>.
Version: | 0.2.0 |
Depends: | Matrix (≥ 1.0-6), R (≥ 3.6.0) |
Imports: | future.apply (≥ 1.1.0), gamlr (≥ 1.0), ggplot2, glmnet (≥ 3.0), progressr, Rdpack, stats, tibble |
Suggests: | testthat (≥ 3.0.0), mlbench, covr |
Published: | 2022-05-09 |
DOI: | 10.32614/CRAN.package.bolasso |
Author: | Daniel Molitor [aut, cre] |
Maintainer: | Daniel Molitor <molitdj97 at gmail.com> |
License: | MIT + file LICENSE |
URL: | https://www.dmolitor.com/bolasso/ |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | bolasso results |
Reference manual: | bolasso.pdf |
Package source: | bolasso_0.2.0.tar.gz |
Windows binaries: | r-devel: bolasso_0.2.0.zip, r-release: bolasso_0.2.0.zip, r-oldrel: bolasso_0.2.0.zip |
macOS binaries: | r-release (arm64): bolasso_0.2.0.tgz, r-oldrel (arm64): bolasso_0.2.0.tgz, r-release (x86_64): bolasso_0.2.0.tgz, r-oldrel (x86_64): bolasso_0.2.0.tgz |
Old sources: | bolasso archive |
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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.