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.

Getting started

Package details

AuthorJoshua Lambert [aut, cre], Liyu Gong [aut], Corrine Elliott [aut], Sarah Janse [ctb]
MaintainerJoshua Lambert <[email protected]>
LicenseGPL-2
Version0.9.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("rFSA")

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rFSA documentation built on May 2, 2019, 12:54 a.m.