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An R library for variable selection in regression problems based on genetic algorithm

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GA

An R library for variable selection in regression problems based on genetic algorithm

Franklin Zhao, Mia Zhong

Côme de Lassus Saint Geniès, and Arman Jabbari

IMPORTANT: Since some parts in this library were developed with the help of the function dplyr::sample_n(), please make sure you have installed dplyr library. Also, please make sure you have installed devtools library so that GA can be imported via Github.

If you would like to use the parallelization technique in this library, please also make sure you have installed the following libraries: parallel, doParallel, and foreach.

Use the library

Please run the following code in R:

devtools::install_github('QinganZhao/GA')
library(GA)

Run the tests in the library

Please make sure you have installed testthat library, and run the following code in R:

testthat::test_package('GA')

Develop the library

The library is welcomed to be refined. Please push the updated library to Github and reinstall it before using.

To update the help pages, please run the following code after changing:

devtools::document()

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An R library for variable selection in regression problems based on genetic algorithm

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