Package: rFSA
Type: Package
Title: Feasible Solution Algorithm for Finding Best Subsets and
        Interactions
Version: 0.9.6
Date: 2020-06-10
Authors@R: c(
    person(given="Joshua",family="Lambert",email="joshua.lambert@uc.edu",role=c("aut","cre")),
    person(given="Liyu",family="Gong",email="liyu.gong@uky.edu",role="aut"),
    person(given="Corrine",family="Elliott",email="cfelliott@berkeley.edu",role="aut"),
    person(given="Sarah",family="Janse",email="Sarah.Janse@osumc.edu",role="ctb"))
Description: 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.
License: GPL-2
LazyData: TRUE
Imports: parallel, methods, tibble, rPref, tidyr, hash
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-06-10 17:53:10 UTC; josh
Author: Joshua Lambert [aut, cre],
  Liyu Gong [aut],
  Corrine Elliott [aut],
  Sarah Janse [ctb]
Maintainer: Joshua Lambert <joshua.lambert@uc.edu>
Repository: CRAN
Date/Publication: 2020-06-10 20:20:03 UTC
Built: R 4.6.0; ; 2026-04-30 02:02:02 UTC; unix
