jtkwar/GA: Genetic Algorithm for Variable Selection in Regression Problems

A genetic algorithm for variable selection in regression problems, including both linear regression and GLM. Used for handling binary functions to fit data and produce the best model based on input data. This package was assembled as part of the final project of STAT243 at the University of California, Berkeley, Fall 2017.

Getting started

Package details

AuthorMing Qiu, Junyuan Gao, Jehl Titouan, Jeffrey Kwarsick
MaintainerJeffrey Kwarsick <[email protected]>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
jtkwar/GA documentation built on Dec. 14, 2017, 12:14 a.m.