Package: mogavs 1.1.0

Tommi Pajala

mogavs: Multiobjective Genetic Algorithm for Variable Selection in Regression

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) <doi:10.1080/10618600.2014.899236>.

Authors:Tommi Pajala [aut, cre], Pekka Malo [aut], Ankur Sinha [aut], Timo Kuosmanen [ctb]

mogavs_1.1.0.tar.gz
mogavs_1.1.0.tar.gz(r-4.5-noble)mogavs_1.1.0.tar.gz(r-4.4-noble)
mogavs_1.1.0.tgz(r-4.4-emscripten)mogavs_1.1.0.tgz(r-4.3-emscripten)
mogavs.pdf |mogavs.html✨
mogavs/json (API)

# Install 'mogavs' in R:
install.packages('mogavs', repos = 'https://cloud.r-project.org')
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 137 downloads 10 exports 4 dependencies

Last updated 7 years agofrom:af381ad16e. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 30 2025
R-4.5-linuxOKMar 30 2025
R-4.4-linuxOKMar 30 2025

Exports:createAdditionalPlotscv.mogavsgetBestModelgetBestModelVarsmogavsmogavs.defaultmogavs.formulamogavsToLinearplotVarUsagesummary.mogavs

Dependencies:cvToolsDEoptimRlatticerobustbase

Citation

To cite package ‘mogavs’ in publications use:

Pajala T, Malo P, Sinha A (2018). mogavs: Multiobjective Genetic Algorithm for Variable Selection in Regression. R package version 1.1.0, https://CRAN.R-project.org/package=mogavs.

Corresponding BibTeX entry: 

  @Manual{,
    title = {mogavs: Multiobjective Genetic Algorithm for Variable
      Selection in Regression},
    author = {Tommi Pajala and Pekka Malo and Ankur Sinha},
    year = {2018},
    note = {R package version 1.1.0},
    url = {https://CRAN.R-project.org/package=mogavs},
  }