squeezy
Group-Adaptive Elastic Net Penalised Generalised Linear Models
Fit linear and logistic regression models penalised with group-adaptive elastic net penalties. The group penalties correspond to groups of covariates defined by a co-data group set. The method accommodates inclusion of unpenalised covariates and overlapping groups. See Van Nee et al. (2021) doi:10.48550/arXiv.2101.03875.
- Version1.1-1
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release05/13/2022
Team
Mirrelijn M. van Nee
Mark A. van de Wiel
Show author detailsRolesAuthorTim van de Brug
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 502 times in the last 30 days. This could be a paper that people cite without reading. Reaching the medium popularity echelon is no small feat! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 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 8,573 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Sep 11, 2024 with 82 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
- Suggests2 packages