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>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
CRAN checks: GAparsimony results


Reference manual: GAparsimony.pdf


Package source: GAparsimony_0.9.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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