gaselect: Genetic Algorithm (GA) for Variable Selection from High-Dimensional Data
Version 1.0.5

Provides a genetic algorithm for finding variable subsets in high dimensional data with high prediction performance. The genetic algorithm can use ordinary least squares (OLS) regression models or partial least squares (PLS) regression models to evaluate the prediction power of variable subsets. By supporting different cross-validation schemes, the user can fine-tune the tradeoff between speed and quality of the solution.

Getting started

Package details

AuthorDavid Kepplinger
Date of publication2015-02-12 17:45:27
MaintainerDavid Kepplinger <david.kepplinger@gmail.com>
LicenseGPL (>= 2)
Version1.0.5
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("gaselect")

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gaselect documentation built on May 29, 2017, 9:40 p.m.