Installation
About
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) doi:10.18637/jss.v093.i03.
| Citation | lmSubsets citation info |
| github.com/marc-hofmann/lmSubsets.R | |
| System requirements | C++11 |
Key Metrics
Downloads
| Yesterday | 2 0% |
| Last 7 days | 57 0% |
| Last 30 days | 240 -58% |
| Last 90 days | 1.097 +17% |
| Last 365 days | 4.151 +10% |
Maintainer
| Maintainer | Marc Hofmann |
Depends
| R | ≥ 3.5.0 |
Imports
| stats | |
| graphics | |
| utils |