Skjemaa/GA: Selects covariates for use in regression using genetic algorithm

The package initially selects covariates for regression (depending on initialization parameters), and then iteratively updates the covariates in order to maximize an objective function (default AIC). The package contains one main function "select" which takes predictor y variable and dataset of covariates.

Getting started

Package details

AuthorWho wrote it
MaintainerThe package maintainer <[email protected]>
LicenseWhat license is it under?
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
Skjemaa/GA documentation built on Dec. 17, 2017, 6:23 p.m.