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
Browse package contents
Package details |
|
|---|---|
| Author | Ming Qiu, Junyuan Gao, Jehl Titouan, Jeffrey Kwarsick |
| Maintainer | Jeffrey Kwarsick <kwarsick@berkeley.edu> |
| License | GPL-3 |
| Version | 0.1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
