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-4.7-any)FPV_0.5.tar.gz(r-4.6-any)
FPV_0.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:acbfe27dcc. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 105 | ||
| source / vignettes | OK | 207 | ||
| linux-release-x86_64 | OK | 94 | ||
| wasm-release | OK | 104 |
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 |