GAparsimony (0.9.4)

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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) . To this objective, a novel GA selection procedure is introduced based on separate cost and complexity evaluations.

Maintainer: F.J. Martinez-de-Pison
Author(s): F.J. Martinez-de-Pison [aut, cre]

License: GPL (>= 2)

Uses: foreach, iterators, caret, e1071, kernlab, lhs, mlbench, MASS, nnet, doRNG, doParallel, knitr

Released about 1 month ago.

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