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 Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=biglasso to link to this page.
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