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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.
Getting started
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Package details |
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| Author | F.J. Martinez-de-Pison <fjmartin@unirioja.es> |
| Maintainer | F.J. Martinez-de-Pison <fjmartin@unirioja.es> |
| License | GPL (>= 2) |
| Version | 0.9.5 |
| URL | https://github.com/jpison/GAparsimony |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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