doi:10.32614/RJ-2021-001>.">

biglasso: Extending Lasso Model Fitting to Big Data (original) (raw)

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 ORCID iD [aut, cre]
Maintainer: Patrick Breheny
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

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