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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.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 form https://CRAN.R-project.org/package=GAparsimony to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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