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GAparsimony: Searching Parsimony Models with Genetic Algorithms

Methodology that combines feature selection, model tuning, and parsimonious model selection with Genetic Algorithms (GA) proposed in {Martinez-de-Pison} (2015) <doi:10.1016/j.asoc.2015.06.012>. To this objective, a novel GA selection procedure is introduced based on separate cost and complexity evaluations.

Version:0.9.5
Depends:R (≥ 3.0), methods,foreach,iterators
Imports:stats, graphics, grDevices, utils
Suggests:parallel,doParallel,doRNG (≥ 1.6),knitr (≥ 1.8),lhs,MASS,caret,mlbench,e1071,nnet,kernlab
Published:2023-04-07
DOI:10.32614/CRAN.package.GAparsimony
Author:F.J. Martinez-de-Pison
Maintainer:F.J. Martinez-de-Pison <fjmartin at unirioja.es>
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
URL:https://github.com/jpison/GAparsimony
NeedsCompilation:no
Materials:NEWS
CRAN checks:GAparsimony results

Documentation:

Reference manual:GAparsimony.html ,GAparsimony.pdf

Downloads:

Package source: GAparsimony_0.9.5.tar.gz
Windows binaries: r-devel:GAparsimony_0.9.5.zip, r-release:GAparsimony_0.9.5.zip, r-oldrel:GAparsimony_0.9.5.zip
macOS binaries: r-release (arm64):GAparsimony_0.9.5.tgz, r-oldrel (arm64):GAparsimony_0.9.5.tgz, r-release (x86_64):GAparsimony_0.9.5.tgz, r-oldrel (x86_64):GAparsimony_0.9.5.tgz
Old sources: GAparsimony archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=GAparsimonyto link to this page.


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