Package: biglasso 1.6.0

Patrick Breheny

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.

Authors:Yaohui Zeng [aut], Chuyi Wang [aut], Tabitha Peter [aut], Patrick Breheny [aut, cre]

biglasso_1.6.0.tar.gz
biglasso_1.6.0.tar.gz(r-4.5-noble)biglasso_1.6.0.tar.gz(r-4.4-noble)
biglasso_1.6.0.tgz(r-4.4-emscripten)biglasso_1.6.0.tgz(r-4.3-emscripten)
biglasso.pdf |biglasso.html
biglasso/json (API)
NEWS

# Install 'biglasso' in R:
install.packages('biglasso', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/pbreheny/biglasso/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • colon - Gene expression data from colon-cancer patients

4.21 score 68 scripts 1.7k downloads 7 mentions 5 exports 9 dependencies

Last updated 6 months agofrom:fb06d11b16. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKSep 19 2024
R-4.5-linux-x86_64NOTESep 19 2024

Exports:biglassobiglasso_fitbiglasso_pathcv.biglassosetupX

Dependencies:BHbigmemorybigmemory.srilatticeMatrixncvregRcppRcppArmadillouuid

biglasso

Rendered frombiglasso.Rmdusingknitr::rmarkdownon Sep 19 2024.

Last update: 2024-04-22
Started: 2021-01-16