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.

Package details

AuthorF.J. Martinez-de-Pison [aut, cre]
MaintainerF.J. Martinez-de-Pison <[email protected]>
LicenseGPL (>= 2)
Version0.9.2
URL https://github.com/jpison/GAparsimony
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("GAparsimony")

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GAparsimony documentation built on May 18, 2018, 5:05 p.m.