FuzzySimRes: Simulation and Resampling Methods for Epistemic Fuzzy Data

Random simulations of fuzzy numbers are still a challenging problem. The aim of this package is to provide the respective procedures to simulate fuzzy random variables, especially in the case of the piecewise linear fuzzy numbers (PLFNs, see Coroianua et al. (2013) <doi:10.1016/j.fss.2013.02.005> for the further details). Additionally, the special resampling algorithms known as the epistemic bootstrap are provided (see Grzegorzewski and Romaniuk (2022) <doi:10.34768/amcs-2022-0021>, Grzegorzewski and Romaniuk (2022) <doi:10.1007/978-3-031-08974-9_39>) together with the functions to apply statistical tests and estimate various characteristics based on the epistemic bootstrap. The package also includes a real-life data set of epistemic fuzzy triangular numbers. The fuzzy numbers used in this package are consistent with the 'FuzzyNumbers' package.

Version: 0.3.0
Depends: R (≥ 3.5.0)
Imports: stats, FuzzyNumbers, palasso, methods
Suggests: testthat (≥ 3.0.0)
Published: 2023-08-10
Author: Maciej Romaniuk ORCID iD [cre, aut], Przemyslaw Grzegorzewski ORCID iD [aut], Abbas Parchami ORCID iD [aut], Luis Carvalho [ctb, cph] (Procedures from kolmim package in the kolmim.c file)
Maintainer: Maciej Romaniuk <mroman at ibspan.waw.pl>
License: GPL-3
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: FuzzySimRes results

Documentation:

Reference manual: FuzzySimRes.pdf

Downloads:

Package source: FuzzySimRes_0.3.0.tar.gz
Windows binaries: r-devel: FuzzySimRes_0.3.0.zip, r-release: FuzzySimRes_0.3.0.zip, r-oldrel: FuzzySimRes_0.3.0.zip
macOS binaries: r-release (arm64): FuzzySimRes_0.3.0.tgz, r-oldrel (arm64): FuzzySimRes_0.3.0.tgz, r-release (x86_64): FuzzySimRes_0.3.0.tgz
Old sources: FuzzySimRes archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=FuzzySimRes to link to this page.