Extending Lasso Model Fitting to Big Data [R package biglasso version 1.6.1]

biglasso: Extending Lasso Model Fitting to Big Data

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年03月05日

DOI: 10.32614/CRAN.package.biglasso

Author: Yaohui Zeng [aut], Chuyi Wang [aut], Tabitha Peter [aut], Patrick Breheny ORCID iD [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