Package: GAparsimony 0.9.5

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.

Authors:F.J. Martinez-de-Pison <[email protected]>

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Peer review:

Bug tracker:https://github.com/jpison/gaparsimony/issues

On CRAN:

22 exports 5 stars 1.11 score 3 dependencies 9 scripts 278 downloads

Last updated 1 years agofrom:cdaad1e009. Checks:OK: 7. Indexed: yes.

Exports:clearConsoleLinega_parsimonyis.RStudioparsimony_controlparsimony_crossoverparsimony_importanceparsimony_lrSelectionparsimony_monitorparsimony_mutationparsimony_nlrSelectionparsimony_populationparsimony_rerankparsimony_summaryplotplot.ga_parsimonyprintprint.summary.ga_parsimonyshowstartParallelstopParallelsummarysummary.ga_parsimony

Dependencies:codetoolsforeachiterators