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.

Version: 0.5
Imports: FuzzyNumbers, FuzzyNumbers.Ext.2
Published: 2017-08-29
Author: Abbas Parchami (Department of Statistics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran)
Maintainer: Abbas Parchami <parchami at uk.ac.ir>
License: LGPL (≥ 3)
NeedsCompilation: no
CRAN checks: FPV results

Downloads:

Reference manual: FPV.pdf
Package source: FPV_0.5.tar.gz
Windows binaries: r-devel: FPV_0.5.zip, r-release: FPV_0.5.zip, r-oldrel: FPV_0.5.zip
OS X El Capitan binaries: r-release: FPV_0.5.tgz
OS X Mavericks binaries: r-oldrel: FPV_0.5.tgz

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