grpSLOPE
Group Sorted L1 Penalized Estimation
Group SLOPE (Group Sorted L1 Penalized Estimation) is a penalized linear regression method that is used for adaptive selection of groups of significant predictors in a high-dimensional linear model. The Group SLOPE method can control the (group) false discovery rate at a user-specified level (i.e., control the expected proportion of irrelevant among all selected groups of predictors). For additional information about the implemented methods please see Brzyski, Gossmann, Su, Bogdan (2018) doi:10.1080/01621459.2017.1411269.
- Version0.3.3
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release05/24/2023
Documentation
Team
Alexej Gossmann
Malgorzata Bogdan
Show author detailsRolesAuthorEwout van den Berg
Show author detailsRolesContributorChiara Sabatti
Show author detailsRolesContributorEmmanuel Candes
Show author detailsRolesContributorEvan Patterson
Show author detailsRolesContributorWeijie Su
Show author detailsRolesAuthorDamian Brzyski
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 203 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.
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Last 365 days
This package has been downloaded 2,912 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 Jan 21, 2025 with 34 downloads.
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Dependencies
- Imports1 package
- Suggests6 packages
- Linking To1 package
- Reverse Suggests1 package