lmSubsets
Exact Variable-Subset Selection in Linear Regression
Exact and approximation algorithms for variable-subset selection in ordinary linear regression models. Either compute all submodels with the lowest residual sum of squares, or determine the single-best submodel according to a pre-determined statistical criterion. Hofmann et al. (2020)
- Version0.5-2
- R version≥ 3.5.0
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- lmSubsets citation info
- Last release02/07/2021
Documentation
Team
Marc Hofmann
Cristian Gatu
Show author detailsRolesAuthorErricos J. Kontoghiorghes
Show author detailsRolesAuthorAna Colubi
Show author detailsRolesAuthorAchim Zeileis
Martin Moene
Show author detailsRolesCopyright holderMicrosoft Corporation
Show author detailsRolesCopyright holderFree Software Foundation, Inc.
Show author detailsRolesCopyright holder
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package
- Imports2 packages