Implements LASSO regression using gradient descent with support for Gaussian, Binomial, Negative Binomial, and Zero-Inflated Negative Binomial (ZINB) families. Features cross-validation for determining lambda, stability selection, and bootstrapping for confidence intervals. Methods described in Tibshirani (1996) <doi:10.1111/j.2517-6161.1996.tb02080.x> and Meinshausen and Buhlmann (2010) <doi:10.1111/j.1467-9868.2010.00740.x>.
| Version: | 0.1.1 |
| Imports: | stats, utils, graphics, grDevices, foreach, doParallel, parallel |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: | 2026-01-08 |
| DOI: | 10.32614/CRAN.package.gradLasso (may not be active yet) |
| Author: | David DeFranza [aut, cre] |
| Maintainer: | David DeFranza <david.defranza at ucd.ie> |
| BugReports: | https://github.com/ddefranza/gradLasso/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/ddefranza/gradLasso |
| NeedsCompilation: | no |
| CRAN checks: | gradLasso results |
| Reference manual: | gradLasso.html , gradLasso.pdf |
| Vignettes: |
Introduction to gradLasso (source, R code) |
| Package source: | gradLasso_0.1.1.tar.gz |
| Windows binaries: | r-devel: gradLasso_0.1.1.zip, r-release: not available, r-oldrel: gradLasso_0.1.1.zip |
| macOS binaries: | r-release (arm64): gradLasso_0.1.1.tgz, r-oldrel (arm64): gradLasso_0.1.1.tgz, r-release (x86_64): gradLasso_0.1.1.tgz, r-oldrel (x86_64): gradLasso_0.1.1.tgz |
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