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 is an implementation of Yang, J. and Hastie, T. (2024) doi:10.48550/arXiv.2405.08631.
- Version1.0.7
- R versionunknown
- LicenseMIT
- Needs compilation?Yes
- Last release02/28/2025
Documentation
Team
Trevor Hastie
MaintainerShow author detailsJames Yang
Balasubramanian Narasimhan
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 537 times in the last 30 days. Not bad! The download count is somewhere between 'small-town buzz' and 'moderate academic conference'. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,993 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jun 22, 2024 with 64 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports4 packages
- Suggests5 packages
- Linking To2 packages