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GAparsimony  

Searching Parsimony Models with Genetic Algorithms
View on CRAN: Click here


Download and install GAparsimony package within the R console
Install from CRAN:
install.packages("GAparsimony")

Install from Github:
library("remotes")
install_github("cran/GAparsimony")

Install by package version:
library("remotes")
install_version("GAparsimony", "0.9.5")



Attach the package and use:
library("GAparsimony")
Maintained by
F.J. Martinez-de-Pison
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-08-04
Latest Update: 2023-04-07
Description:
Methodology that combines feature selection, model tuning, and parsimonious model selection with Genetic Algorithms (GA) proposed in {Martinez-de-Pison} (2015) . To this objective, a novel GA selection procedure is introduced based on separate cost and complexity evaluations.
How to cite:
F.J. Martinez-de-Pison (2017). GAparsimony: Searching Parsimony Models with Genetic Algorithms. R package version 0.9.5, https://cran.r-project.org/web/packages/GAparsimony. Accessed 15 Jul. 2026.
Previous versions and publish date:
0.9-1 (2017-08-04 00:53), 0.9.2 (2018-05-18 11:34), 0.9.4 (2019-12-03 13:20), (2026-07-09 08:04)
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Complete documentation for GAparsimony
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