L2E
Robust Structured Regression via the L2 Criterion
An implementation of a computational framework for performing robust structured regression with the L2 criterion from Chi and Chi (2021+). Improvements using the majorization-minimization (MM) principle from Liu, Chi, and Lange (2022+) added in Version 2.0.
- Version2.0
- R version≥ 3.5.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- L2E citation info
- Last release09/08/2022
Documentation
Team
Jocelyn Chi
Xiaoqian Liu
Show author detailsRolesAuthor, ContributorLisa Lin
Show author detailsRolesContributorKenneth Lange
Show author detailsRolesAuthorEric Chi
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 162 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 2 times.
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Last 365 days
This package has been downloaded 2,457 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 30 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
- Imports6 packages
- Suggests4 packages