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Penalized Elastic Net S/MM-Estimator of Regression
Robust penalized (adaptive) elastic net S and M estimators for linear regression. The methods are proposed in Cohen Freue, G. V., Kepplinger, D., Salibián-Barrera, M., and Smucler, E. (2019) https://projecteuclid.org/euclid.aoas/1574910036. The package implements the extensions and algorithms described in Kepplinger, D. (2020) doi:10.14288/1.0392915.
- Version2.2.2
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?Yes
- Last release07/27/2024
Documentation
Team
David Kepplinger
Matías Salibián-Barrera
Show author detailsRolesAuthorGabriela Cohen Freue
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 360 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 27 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 4,240 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Feb 12, 2025 with 57 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
- Depends1 package
- Imports3 packages
- Suggests4 packages
- Linking To2 packages