biglasso: Extending Lasso Model Fitting to Big Data

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 [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/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

Documentation:

Reference manual:	biglasso.pdf
Vignettes:	biglasso

Downloads:

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 dependencies:

Reverse imports:	plmmr
Reverse suggests:	SuperLearner

Linking:

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