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FuzzySimRes  

Simulation and Resampling Methods for Epistemic Fuzzy Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("FuzzySimRes", "0.4.3")



Attach the package and use:
library("FuzzySimRes")
Maintained by
Maciej Romaniuk
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-06-09
Latest Update: 2023-08-10
Description:
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) for the further details). Additionally, the special resampling algorithms known as the epistemic bootstrap are provided (see Grzegorzewski and Romaniuk (2022) , Grzegorzewski and Romaniuk (2022) ) 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.
How to cite:
Maciej Romaniuk (2023). FuzzySimRes: Simulation and Resampling Methods for Epistemic Fuzzy Data. R package version 0.4.3, https://cran.r-project.org/web/packages/FuzzySimRes. Accessed 23 Nov. 2024.
Previous versions and publish date:
0.1.2 (2023-06-09 10:53), 0.2.0 (2023-06-22 14:42), 0.2.1 (2023-07-13 02:00), 0.3.0 (2023-08-10 10:40), 0.4.0 (2024-03-14 09:30)
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Complete documentation for FuzzySimRes
Functions, R codes and Examples using the FuzzySimRes R package
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