Package: FPV 0.5
Abbas Parchami
FPV: Testing Hypotheses via Fuzzy P-Value in Fuzzy Environment
The main goal of this package is drawing the membership function of the fuzzy p-value which is defined as a fuzzy set on the unit interval for three following problems: (1) testing crisp hypotheses based on fuzzy data, see Filzmoser and Viertl (2004) <doi:10.1007/s001840300269>, (2) testing fuzzy hypotheses based on crisp data, see Parchami et al. (2010) <doi:10.1007/s00362-008-0133-4>, and (3) testing fuzzy hypotheses based on fuzzy data, see Parchami et al. (2012) <doi:10.1007/s00362-010-0353-2>. In all cases, the fuzziness of data or / and the fuzziness of the boundary of null fuzzy hypothesis transported via the p-value function and causes to produce the fuzzy p-value. If the p-value is fuzzy, it is more appropriate to consider a fuzzy significance level for the problem. Therefore, the comparison of the fuzzy p-value and the fuzzy significance level is evaluated by a fuzzy ranking method in this package.
Authors:
FPV_0.5.tar.gz
FPV_0.5.tar.gz(r-4.5-noble)FPV_0.5.tar.gz(r-4.4-noble)
FPV_0.5.tgz(r-4.4-emscripten)FPV_0.5.tgz(r-4.3-emscripten)
FPV.pdf |FPV.html✨
FPV/json (API)
| # Install 'FPV' in R: |
| install.packages('FPV', 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 7 years agofrom:acbfe27dcc. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 18 2024 |
| R-4.5-linux | OK | Nov 18 2024 |
Exports:fuzzy.p.value
Dependencies:FuzzyNumbersFuzzyNumbers.Ext.2
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Testing Hypotheses via Fuzzy P-Value in Fuzzy Environment | FPV-package FPV |
| Testing hypotheses based on fuzzy hypotheses and fuzzy data: A fuzzy p-value approach | fuzzy.p.value |