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FPV  

Testing Hypotheses via Fuzzy P-Value in Fuzzy Environment
View on CRAN: Click here


Download and install FPV package within the R console
Install from CRAN:
install.packages("FPV")

Install from Github:
library("remotes")
install_github("cran/FPV")

Install by package version:
library("remotes")
install_version("FPV", "0.5")



Attach the package and use:
library("FPV")
Maintained by
Abbas Parchami
[Scholar Profile | Author Map]
First Published: 2017-08-29
Latest Update: 2017-08-29
Description:
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) , (2) testing fuzzy hypotheses based on crisp data, see Parchami et al. (2010) , and (3) testing fuzzy hypotheses based on fuzzy data, see Parchami et al. (2012) . 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.
How to cite:
Abbas Parchami (2017). FPV: Testing Hypotheses via Fuzzy P-Value in Fuzzy Environment. R package version 0.5, https://cran.r-project.org/web/packages/FPV. Accessed 06 May. 2025.
Previous versions and publish date:
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Other packages that cited FPV R package
View FPV citation profile
Other R packages that FPV depends, imports, suggests or enhances
Complete documentation for FPV
Functions, R codes and Examples using the FPV R package
Some associated functions: FPV-package . fuzzy.p.value . 
Some associated R codes: fuzzy.p.value.R .  Full FPV package functions and examples
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