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 is an implementation of Yang, J. and Hastie, T. (2024) <doi:10.48550/arXiv.2405.08631>.
Package details |
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Author | James Yang [aut, cph], Trevor Hastie [aut, cph, cre], Balasubramanian Narasimhan [aut] |
Maintainer | Trevor Hastie <hastie@stanford.edu> |
License | MIT + file LICENSE |
Version | 1.0.7 |
URL | https://github.com/JamesYang007/adelie-r |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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