adelie
1.0.10Group Lasso and Elastic Net Solver for Generalized Linear Models
Overview
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>.
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Health
- OK2026-05-0213 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-04-2211 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1810 OK · 3 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-1011 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Code & tests
Open call graph →Line coverage
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Tests / Examples
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Functions
169 35 exported
Complexity
3.9 avg / 42 max
Call network
169 nodes / 100 edges
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Package metadata
- First published
- 2024-06-17
- Total releases
- 8 / 2 yrs
- License
- MIT + file LICENSE OSI
- Download size
- not tracked yet
- Installed size
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- With dependencies
- not tracked yet