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]>

GAparsimony_0.9.5.tar.gz
GAparsimony_0.9.5.zip(r-4.7-any)GAparsimony_0.9.5.zip(r-4.6-any)GAparsimony_0.9.5.zip(r-4.5-any)
GAparsimony_0.9.5.tgz(r-4.6-any)GAparsimony_0.9.5.tgz(r-4.5-any)
GAparsimony_0.9.5.tar.gz(r-4.7-any)GAparsimony_0.9.5.tar.gz(r-4.6-any)
GAparsimony_0.9.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
GAparsimony/json (API)

# Install 'GAparsimony' in R:
install.packages('GAparsimony', repos = c('https://jpison.r-universe.dev', 'https://cloud.r-project.org'))

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

On CRAN:

Conda:

2.78 score 6 stars 9 scripts 313 downloads 22 exports 3 dependencies

Last updated from:cdaad1e009. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK111
source / vignettesOK181
linux-releaseOK111
macos-releaseOK127
macos-oldrelOK144
windows-develOK70
windows-releaseOK61
windows-oldrelOK75
wasm-releaseOK95

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

Dependencies:codetoolsforeachiterators

Readme and manuals

Help Manual

Help pageTopics
GAparsimonyGAparsimony-package GAparsimony
GA-PARSIMONYga_parsimony numericOrNA print,ga_parsimony-method show,ga_parsimony-method
Class "ga_parsimony"ga_parsimony-class
Virtual Class "matrixNULL" - Simple Class for matrix or NULLmatrixNULL-class
Virtual Class "numericOrNA" - Simple Class for subassignment ValuesnumericOrNA-class
Crossover operators in GA-PARSIMONYparsimony_Crossover parsimony_crossover
Percentage of appearance of each feature in elitist populationparsimony_importance
Functions for monitoring GA-PARSIMONY algorithm evolutionparsimony_monitor
Mutation operators in GA-PARSIMONYparsimony_Mutation parsimony_mutation
Population initialization in GA-PARSIMONY with a combined chromosome of model parameters and selected featuresparsimony_Population parsimony_population
Function for reranking by complexity in parsimonious model selection processparsimony_rerank
Selection operators in GA-PARSIMONYparsimony_lrSelection parsimony_nlrSelection parsimony_Selection
Plot of GA evolution of elitistsplot,ga_parsimony-method plot.ga_parsimony
Summary for GA-PARSIMONYprint.summary.ga_parsimony summary,ga_parsimony-method summary.ga_parsimony