Package: wowa 1.0.2
Gleb Beliakov
wowa: Weighted Ordered Weighted Average
Introduce weights into Ordered Weighted Averages and extend bivariate means based on n-ary tree construction. Please refer to the following: G. Beliakov, H. Bustince, and T. Calvo (2016, ISBN: 978-3-319-24753-3), G. Beliakov(2018) <doi:10.1002/int.21913>, G. Beliakov, J.J. Dujmovic (2016) <doi:10.1016/j.ins.2015.10.040>, J.J. Dujmovic and G. Beliakov (2017) <doi:10.1002/int.21828>.
Authors:
wowa_1.0.2.tar.gz
wowa_1.0.2.tar.gz(r-4.5-noble)wowa_1.0.2.tar.gz(r-4.4-noble)
wowa_1.0.2.tgz(r-4.4-emscripten)wowa_1.0.2.tgz(r-4.3-emscripten)
wowa.pdf |wowa.html✨
wowa/json (API)
| # Install 'wowa' in R: |
| install.packages('wowa', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:fdf9a7f82d. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 23 2024 |
| R-4.5-linux-x86_64 | OK | Dec 23 2024 |
Exports:wowawowa.ImplicitWOWAwowa.OWAwowa.WAMwowa.WAnwowa.weightedfwowa.weightedOWAQuantifierwowa.weightedOWAQuantifierBuild
Dependencies:Rcpp
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| WOWA package | wowa |
| Impicit Weighted OWA Computation Function | wowa.ImplicitWOWA |
| Ordered weigted average function | wowa.OWA |
| WAM computation | wowa.WAM |
| Extension of binary averaging | wowa.WAn |
| Weighted extension of the OWA function | wowa.weightedf |
| WOWA value computation Function | wowa.weightedOWAQuantifier |
| RIM quantifier of the Weighted OWA function | wowa.weightedOWAQuantifierBuild |