CRAN/E | GAparsimony

GAparsimony

Searching Parsimony Models with Genetic Algorithms

Installation

About

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.

github.com/jpison/GAparsimony

Key Metrics

Version 0.9.4
R ≥ 3.0
Published 2019-12-03 1606 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks GAparsimony results

Downloads

Yesterday 11 0%
Last 7 days 52 -24%
Last 30 days 237 -5%
Last 90 days 716 -16%
Last 365 days 2.904 -6%

Maintainer

Maintainer

F.J. Martinez-de-Pison

fjmartin@unirioja.es

Authors

F.J. Martinez-de-Pison

aut / cre

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

GAparsimony archive

Depends

R ≥ 3.0
methods
foreach
iterators

Imports

stats
graphics
grDevices
utils

Suggests

parallel
doParallel
doRNG ≥ 1.6
knitr ≥ 1.8
lhs
MASS
caret
mlbench
e1071
nnet
kernlab