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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 |
| 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:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=biglasso
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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