gamesGA: Genetic Algorithm for Sequential Symmetric Games

Finds adaptive strategies for sequential symmetric games using a genetic algorithm. Currently, any symmetric two by two matrix is allowed, and strategies can remember the history of an opponent's play from the previous three rounds of moves in iterated interactions between players. The genetic algorithm returns a list of adaptive strategies given payoffs, and the mean fitness of strategies in each generation.

Version:	1.1.3.7
Depends:	R (≥ 3.4.0)
Imports:	grDevices (≥ 3.4.0), graphics (≥ 3.4.0), stats (≥ 3.4.0), shiny (≥ 1.0.0)
Suggests:	testthat
Published:	2020-03-01
DOI:	10.32614/CRAN.package.gamesGA
Author:	A. Bradley Duthie [aut, cre]
Maintainer:	A. Bradley Duthie <brad.duthie at gmail.com>
BugReports:	https://github.com/bradduthie/gamesGA/issues
License:	MIT + file LICENSE
URL:	https://bradduthie.github.io/gamesGA/
NeedsCompilation:	yes
CRAN checks:	gamesGA results

Documentation:

Reference manual:

gamesGA.pdf

Downloads:

Package source:	gamesGA_1.1.3.7.tar.gz
Windows binaries:	r-devel: gamesGA_1.1.3.7.zip, r-release: gamesGA_1.1.3.7.zip, r-oldrel: gamesGA_1.1.3.7.zip
macOS binaries:	r-release (arm64): gamesGA_1.1.3.7.tgz, r-oldrel (arm64): gamesGA_1.1.3.7.tgz, r-release (x86_64): gamesGA_1.1.3.7.tgz, r-oldrel (x86_64): gamesGA_1.1.3.7.tgz
Old sources:	gamesGA archive

Linking:

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