adelie: Group Lasso and Elastic Net Solver for Generalized Linear Models
Extremely efficient procedures for fitting the entire group lasso and group elastic net regularization path for GLMs, multinomial, the Cox model and multi-task Gaussian models. Similar to the R package glmnet in scope of models, and in computational speed. This package provides R bindings to the C++ code underlying the corresponding Python package 'adelie'. These bindings offer a general purpose group elastic net solver,
a wide range of matrix classes that can exploit special structure
to allow large-scale inputs, and an assortment of
generalized linear model classes for fitting various types of data. The package includes
The package is an implementation of Yang, J. and Hastie, T. (2024) <doi:10.48550/arXiv.2405.08631>.
| Version: |
1.0.2 |
| Imports: |
Matrix, r2r, Rcpp, methods, stringr |
| LinkingTo: |
Rcpp, RcppEigen |
| Suggests: |
ggplot2, gridExtra, testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: |
2024-09-03 |
| DOI: |
10.32614/CRAN.package.adelie |
| Author: |
James Yang [aut, cph],
Trevor Hastie [aut, cph, cre],
Balasubramanian Narasimhan [aut] |
| Maintainer: |
Trevor Hastie <hastie at stanford.edu> |
| BugReports: |
https://github.com/JamesYang007/adelie-r/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/JamesYang007/adelie-r |
| NeedsCompilation: |
yes |
| SystemRequirements: |
C++17 |
| Materials: |
NEWS |
| CRAN checks: |
adelie results |
Documentation:
Downloads:
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