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.
Version: 0.9.6 Imports: parallel, methods, tibble, rPref, tidyr, hash Published: 2020-06-10 DOI: 10.32614/CRAN.package.rFSA Author: Joshua Lambert [aut, cre], Liyu Gong [aut], Corrine Elliott [aut], Sarah Janse [ctb] Maintainer: Joshua Lambert <joshua.lambert at uc.edu> License: GPL-2 NeedsCompilation: no Materials: README CRAN checks: rFSA results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=rFSA to link to this page.
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