rFSA: Feasible Solution Algorithm for Finding Best Subsets and Interactions
Version 0.9.1

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) . 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]
Date of publication2018-01-10 14:25:55 UTC
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 Jan. 10, 2018, 5:03 p.m.