slwu89/GA: Genetic Algorithm-based Variable Selection for Generalized Linear Models

This package is the final project for the Fall 2017 offering of Statistics 243 at UC Berkeley. It implements genetic algorithm-based variable selection (binary chromosomes) for generalized linear models with some options.

Getting started

Package details

AuthorSean Wu, Luna Luan, Xinyu Liu, Nina Magnuson
MaintainerSean Wu <[email protected]>
LicenseMIT License
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
slwu89/GA documentation built on Dec. 16, 2017, 4:03 a.m.