rFSA
Feasible Solution Algorithm for Finding Best Subsets and Interactions
Assists in statistical model building to find optimal and semi-optimal higher order interactions and best subsets. Uses the lm(), glm(), and other R functions to fit models generated from a feasible solution algorithm. Discussed in Subset Selection in Regression, A Miller (2002). Applied and explained for least median of squares in Hawkins (1993) doi:10.1016/0167-9473(93)90246-P. The feasible solution algorithm comes up with model forms of a specific type that can have fixed variables, higher order interactions and their lower order terms.
- Version0.9.6
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release06/10/2020
Documentation
Team
Joshua Lambert
Liyu Gong
Show author detailsRolesAuthorCorrine Elliott
Show author detailsRolesAuthorSarah Janse
Show author detailsRolesContributor
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- Imports4 packages