Package: biglasso
Version: 1.4.1
Date: 2021-01-29
Title: Extending Lasso Model Fitting to Big Data
Author: Yaohui Zeng [aut,cre], Chuyi Wang [aut,cre], Patrick Breheny [ctb]
Maintainer: Chuyi Wang <wwaa0208@gmail.com>
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, R.rsp, glmnet, survival, knitr, rmarkdown
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2021-01-30 22:06:45 UTC; cwang123
Repository: CRAN
Date/Publication: 2021-01-31 15:30:06 UTC
Built: R 4.0.2; x86_64-apple-darwin17.0; 2021-02-01 11:29:17 UTC; unix
Archs: biglasso.so.dSYM
