GilChrist19/GA: Perform lm() or glm() Implemented Within a Genetic Algorithm

This package was created as the final project for STAT 243 at UC Berkeley. It performs a maximisation of a linear or general linear model (implemented in lm() or glm()) using a genetic algorithm. It consists of a main function implementing several auxilary functions that perform each step of the genetic algorithm. Users have the option of what model to use, what score function to implement, and several ways to personalize the performance of the algorithm.

install.packages("remotes")
remotes::install_github("GilChrist19/GA")