CRAN/E | rFSA

rFSA

Feasible Solution Algorithm for Finding Best Subsets and Interactions

Installation

About

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.

Key Metrics

Version 0.9.6
Published 2020-06-10 1418 days ago
Needs compilation? no
License GPL-2
CRAN checks rFSA results

Downloads

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Maintainer

Maintainer

Joshua Lambert

joshua.lambert@uc.edu

Authors

Joshua Lambert

aut / cre

Liyu Gong

aut

Corrine Elliott

aut

Sarah Janse

ctb

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

rFSA archive

Imports

parallel
methods
tibble
rPref
tidyr
hash