rFSA: Feasible Solution Algorithm for Finding Best Subsets and Interactions

Uses the lm() and glm() functions to fit models generated from a feasible solution algorithm. 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.

Version: 0.1.0
Depends: R (≥ 2.15.0)
Imports: parallel, methods
Published: 2016-10-18
Author: Joshua Lambert
Maintainer: Joshua Lambert <joshua.lambert at uky.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: rFSA results


Reference manual: rFSA.pdf
Package source: rFSA_0.1.0.tar.gz
Windows binaries: r-devel: rFSA_0.1.0.zip, r-release: rFSA_0.1.0.zip, r-oldrel: rFSA_0.1.0.zip
OS X El Capitan binaries: r-release: rFSA_0.1.0.tgz
OS X Mavericks binaries: r-oldrel: rFSA_0.1.0.tgz


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