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mogavs
View on CRAN: Click
here
Download and install mogavs package within the R console
Install from CRAN:
install.packages("mogavs")
Install from Github:
library("remotes")
install_github("cran/mogavs")
Install by package version:
library("remotes")
install_version("mogavs", "1.1.0")
Attach the package and use:
library("mogavs")
Maintained by
Tommi Pajala
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.mogavs . mogavs results . mogavs.pdf . mogavs_1.1.0.tar.gz . mogavs_1.1.0.zip . mogavs_1.1.0.zip . mogavs_1.1.0.zip . mogavs_1.1.0.tgz . mogavs_1.1.0.tgz . mogavs_1.1.0.tgz . mogavs_1.1.0.tgz . mogavs_1.1.0.tgz . mogavs_1.1.0.tgz . mogavs archive . https://CRAN.R-project.org/package=mogavs .
First Published: 2015-11-06
Latest Update: 2018-01-26
Description:
Functions for exploring the best subsets in regression with a genetic algorithm. The package is much faster than methods relying on complete enumeration, and is suitable for data sets with large number of variables. For more information, see Sinha, Malo & Kuosmanen (2015) .
How to cite:
Tommi Pajala (2015). mogavs: Multiobjective Genetic Algorithm for Variable Selection in Regression. R package version 1.1.0, https://cran.r-project.org/web/packages/mogavs. Accessed 05 Apr. 2025.
Previous versions and publish date:
1.0.1 (2015-11-06 18:29)
Other packages that cited mogavs R package
View mogavs citation profile
Other R packages that mogavs depends,
imports, suggests or enhances
Complete documentation for mogavs
Functions, R codes and Examples using
the mogavs R package
Some associated functions: createAdditionalPlots . crimeData . cv.mogavs . getBestModel . getBestModelVars . mogavs-package . mogavs . mogavsToLinear . plotVarUsage . sampleData . summary.mogavs .
Some associated R codes: createAdditionalPlots.R . cv.mogavs.R . getBestModel.R . getBestModelVars.R . mogavs-internal.R . mogavs.R . mogavs.default.R . mogavs.formula.R . mogavsToLinear.R . plotVarUsage.R . summary.mogavs.R . Full mogavs package functions and examples
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