Extend lasso and elastic-net model fitting for large 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 with limited RAM <doi:10.32614/RJ-2021-001>.
| Version: | 1.6.1 |
| 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: | glmnet,knitr, parallel,rmarkdown,survival,tinytest |
| Published: | 2025-03-05 |
| DOI: | 10.32614/CRAN.package.biglasso |
| Author: | Yaohui Zeng [aut], Chuyi Wang [aut], Tabitha Peter [aut], Patrick Breheny [aut, cre] |
| Maintainer: | Patrick Breheny <patrick-breheny at uiowa.edu> |
| BugReports: | https://github.com/pbreheny/biglasso/issues |
| License: | GPL-3 |
| URL: | https://pbreheny.github.io/biglasso/,https://github.com/pbreheny/biglasso |
| NeedsCompilation: | yes |
| Citation: | biglasso citation info |
| Materials: | README,NEWS |
| CRAN checks: | biglasso results |