mogavs-package: Package for regression variable selection with genetic...
In mogavs: Multiobjective Genetic Algorithm for Variable Selection in Regression
Description
Details
Author(s)
References
Examples
Description
Runs the genetic algorithm MOGA-VS for variable selection on a given data set.
Details
Package: mogavs
Type: Package
Version: 1.1.0
Date: 2017-04-11
License: GPL-2
Author(s)
Tommi Pajala, Ankur Sinha, Pekka Malo, Timo Kuosmanen
Maintainer: Tommi Pajala <tommi.pajala@aalto.fi>
References
Sinha, A., Malo, P. & Kuosmanen, T. (2015) A Multi-objective Exploratory Procedure for Regression Model Selection. Journal of Computational and Graphical Statistics, 24(1). pp. 154-182.
Examples
1
2
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4
data(sampleData)
mod <- mogavs(y~.,data=sampleData,maxGenerations=20)
summary(mod)
createAdditionalPlots(mod,epsilonBand=0,kBest=30,"kbest")
mogavs documentation built on May 2, 2019, 1 a.m.
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Description Details Author(s) References Examples
Description
Runs the genetic algorithm MOGA-VS for variable selection on a given data set.
Details
| Package: | mogavs |
| Type: | Package |
| Version: | 1.1.0 |
| Date: | 2017-04-11 |
| License: | GPL-2 |
Author(s)
Tommi Pajala, Ankur Sinha, Pekka Malo, Timo Kuosmanen Maintainer: Tommi Pajala <tommi.pajala@aalto.fi>
References
Sinha, A., Malo, P. & Kuosmanen, T. (2015) A Multi-objective Exploratory Procedure for Regression Model Selection. Journal of Computational and Graphical Statistics, 24(1). pp. 154-182.
Examples
1 2 3 4 | data(sampleData)
mod <- mogavs(y~.,data=sampleData,maxGenerations=20)
summary(mod)
createAdditionalPlots(mod,epsilonBand=0,kBest=30,"kbest")
|
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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