README.md
In adams-cam/GA: Genetic algorithm for variable selection in generalized linear models
GA
Implemenation of genetic algorithm for model selection using, AIC, BIC, likelihood, or user specified objection function which takes object of class \texttt{lm} or \texttt{glm} as input.
Final project for UC BERKELEY, STAT 243: Computational Statistics
Fall 2017
install
library(devtools)
devtools::install_github("adams-cam/GA")
adams-cam/GA documentation built on May 10, 2019, 9:28 a.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
GA
Implemenation of genetic algorithm for model selection using, AIC, BIC, likelihood, or user specified objection function which takes object of class \texttt{lm} or \texttt{glm} as input.
Final project for UC BERKELEY, STAT 243: Computational Statistics Fall 2017
install
library(devtools) devtools::install_github("adams-cam/GA")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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