Skjemaa/GA: Selects covariates for use in regression using genetic algorithm
The package initially selects covariates for regression (depending on initialization parameters), and then iteratively updates the covariates in order to maximize an objective function (default AIC). The package contains one main function "select" which takes predictor y variable and dataset of covariates.
Getting started
Browse package contents
Package details |
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| Author | Who wrote it |
| Maintainer | The package maintainer <yourself@somewhere.net> |
| License | What license is it under? |
| Version | 0.1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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