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
Imports: parallel, methods, tibble, rPref, tidyr, hash
RoxygenNote: 7.1.0
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libxml2-dev
Repository: https://joshuawlambert.r-universe.dev
Date/Publication: 2021-06-30 16:49:59 UTC
RemoteUrl: https://github.com/joshuawlambert/rfsa
RemoteRef: HEAD
RemoteSha: b0986bb2534f550f6b6a4215d107254c370910d9
NeedsCompilation: no
Packaged: 2026-10-19 07:15:36 UTC; root
Author: Joshua Lambert [aut, cre],
  Liyu Gong [aut],
  Corrine Elliott [aut],
  Sarah Janse [ctb]
Maintainer: Joshua Lambert <joshua.lambert@uc.edu>