Package: biglasso
Version: 1.5.1
Date: 2022-03-04
Title: Extending Lasso Model Fitting to Big Data
Author: Yaohui Zeng [aut], Chuyi Wang [aut], Patrick Breheny [aut]
Maintainer: Patrick Breheny <patrick-breheny@uiowa.edu>
Description: Extend lasso and elastic-net model fitting for ultrahigh-dimensional, 
    multi-gigabyte data sets that cannot be loaded into memory. It's much more 
    memory- and computation-efficient as compared to existing lasso-fitting packages 
    like 'glmnet' and 'ncvreg', thus allowing for very powerful big data analysis 
    even with an ordinary laptop.
License: GPL-3
URL: https://github.com/YaohuiZeng/biglasso,
        https://arxiv.org/abs/1701.05936
BugReports: https://github.com/YaohuiZeng/biglasso/issues
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
VignetteBuilder: knitr
Suggests: parallel, testthat, glmnet, survival, knitr, rmarkdown
RoxygenNote: 7.1.2
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2022-03-04 22:35:09 UTC; pbreheny
Repository: CRAN
Date/Publication: 2022-03-09 08:00:12 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-21 05:01:07 UTC; windows
Archs: i386, x64
