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
Browse package contents
Package details |
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| Author | Sean Wu, Luna Luan, Xinyu Liu, Nina Magnuson |
| Maintainer | Sean Wu <slwu89@berkeley.edu> |
| License | MIT License |
| Version | 1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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