evoper: Evolutionary Parameter Estimation for 'Repast Simphony' Models

The EvoPER, Evolutionary Parameter Estimation for 'Repast Simphony' Agent-Based framework (<https://repast.github.io/>), provides optimization driven parameter estimation methods based on evolutionary computation techniques which could be more efficient and require, in some cases, fewer model evaluations than other alternatives relying on experimental design.

Version: 0.3.0
Depends: rrepast
Imports: methods, futile.logger, boot, reshape, ggplot2, deSolve, plot3D
Published: 2016-11-26
Author: Antonio Prestes Garcia [aut, cre], Alfonso Rodriguez-Paton [aut, ths]
Maintainer: Antonio Prestes Garcia <antonio.pgarcia at alumnos.upm.es>
BugReports: https://github.com/antonio-pgarcia/evoper/issues
License: MIT + file LICENSE
URL: https://github.com/antonio-pgarcia/evoper
NeedsCompilation: no
Materials: NEWS
CRAN checks: evoper results


Reference manual: evoper.pdf
Package source: evoper_0.3.0.tar.gz
Windows binaries: r-devel: evoper_0.3.0.zip, r-release: evoper_0.3.0.zip, r-oldrel: evoper_0.3.0.zip
OS X Mavericks binaries: r-release: evoper_0.3.0.tgz, r-oldrel: evoper_0.3.0.tgz
Old sources: evoper archive


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