biglasso (1.3-7)

0 users

Extending Lasso Model Fitting to Big Data.

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.

Maintainer: Yaohui Zeng
Author(s): Yaohui Zeng [aut,cre], Patrick Breheny [ctb]

License: GPL-3

Uses: bigmemory, Matrix, ncvreg, Rcpp, R.rsp, testthat
Reverse suggests: bigstatsr, epiGWAS, SuperLearner

Released 5 months ago.

6 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of biglasso yet. Want to be the first? Write one now.

Related packages: BayesTree, ElemStatLearn, GAMBoost, ROCR, RXshrink, arules, caret, e1071, earth, effects, elasticnet, gbm, glmpath, grplasso, ipred, kernlab, klaR, lars, lasso2, maptree(20 best matches, based on common tags.)

Search for biglasso on google, google scholar, r-help, r-devel.

Visit biglasso on R Graphical Manual.