The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Extend lasso and elastic-net model fitting for ultra high-dimensional, multi-gigabyte data sets that cannot be loaded into memory. Designed to be more memory- and computation-efficient than existing lasso-fitting packages like 'glmnet' and 'ncvreg', thus allowing the user to analyze big data analysis even on an ordinary laptop.
Version: | 1.6.0 |
Depends: | R (≥ 3.2.0), bigmemory (≥ 4.5.0), Matrix, ncvreg |
Imports: | Rcpp (≥ 0.12.1), methods |
LinkingTo: | Rcpp, RcppArmadillo (≥ 0.8.600), bigmemory, BH |
Suggests: | parallel, testthat, glmnet, survival, knitr, rmarkdown |
Published: | 2024-04-21 |
DOI: | 10.32614/CRAN.package.biglasso |
Author: | Yaohui Zeng [aut],
Chuyi Wang [aut],
Tabitha Peter [aut],
Patrick Breheny |
Maintainer: | Patrick Breheny <patrick-breheny at uiowa.edu> |
BugReports: | https://github.com/pbreheny/biglasso/issues |
License: | GPL-3 |
URL: | https://pbreheny.github.io/biglasso/index.html, https://github.com/pbreheny/biglasso, https://arxiv.org/abs/1701.05936 |
NeedsCompilation: | yes |
Citation: | biglasso citation info |
Materials: | NEWS |
CRAN checks: | biglasso results |
Reference manual: | biglasso.pdf |
Vignettes: |
biglasso |
Package source: | biglasso_1.6.0.tar.gz |
Windows binaries: | r-devel: biglasso_1.6.0.zip, r-release: biglasso_1.6.0.zip, r-oldrel: biglasso_1.6.0.zip |
macOS binaries: | r-release (arm64): biglasso_1.6.0.tgz, r-oldrel (arm64): biglasso_1.6.0.tgz, r-release (x86_64): biglasso_1.6.0.tgz, r-oldrel (x86_64): biglasso_1.6.0.tgz |
Old sources: | biglasso archive |
Reverse suggests: | SuperLearner |
Please use the canonical form https://CRAN.R-project.org/package=biglasso to link to this page.
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.
Health stats visible at Monitor.