Other packages > Find by keyword >

FuzzyResampling  

Resampling Methods for Triangular and Trapezoidal Fuzzy Numbers
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("FuzzyResampling", "0.6.4")



Attach the package and use:
library("FuzzyResampling")
Maintained by
Maciej Romaniuk
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-15
Latest Update: 2024-10-04
Description:
The classical (i.e. Efron's, see Efron and Tibshirani (1994, ISBN:978-0412042317) "An Introduction to the Bootstrap") bootstrap is widely used for both the real (i.e. "crisp") and fuzzy data. The main aim of the algorithms implemented in this package is to overcome a problem with repetition of a few distinct values and to create fuzzy numbers, which are "similar" (but not the same) to values from the initial sample. To do this, different characteristics of triangular/trapezoidal numbers are kept (like the value, the ambiguity, etc., see Grzegorzewski et al. , Grzegorzewski et al. (2020) , Grzegorzewski et al. (2020) , Grzegorzewski and Romaniuk (2022) , Romaniuk and Hryniewicz (2019) ). Some additional procedures related to these resampling methods are also provided, like calculation of the Bertoluzza et al.'s distance (aka the mid/spread distance, see Bertoluzza et al. (1995) "On a new class of distances between fuzzy numbers") and estimation of the p-value of the one- and two- sample bootstrapped test for the mean (see Lubiano et al. (2016, )). Additionally, there are procedures which randomly generate trapezoidal fuzzy numbers using some well-known statistical distributions.
How to cite:
Maciej Romaniuk (2021). FuzzyResampling: Resampling Methods for Triangular and Trapezoidal Fuzzy Numbers. R package version 0.6.4, https://cran.r-project.org/web/packages/FuzzyResampling. Accessed 08 Oct. 2026.
Previous versions and publish date:
0.1.0 (2021-09-15 20:40), 0.3.0 (2021-11-22 08:50), 0.3.1 (2021-12-14 15:40), 0.4.0 (2022-01-05 07:20), 0.4.1 (2022-03-08 12:20), 0.4.2 (2022-03-21 10:40), 0.5.0 (2022-12-02 11:00), 0.6.0 (2022-12-15 10:30), 0.6.1 (2023-08-08 10:40), 0.6.2 (2023-09-25 13:00), 0.6.3 (2023-11-22 12:20), (2026-07-09 08:04)
Other packages that cited FuzzyResampling R package
View FuzzyResampling citation profile
Other R packages that FuzzyResampling depends, imports, suggests or enhances
Complete documentation for FuzzyResampling
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
eDMA  
Dynamic Model Averaging with Grid Search
Perform dynamic model averaging with grid search as in Dangl and Halling (2012) ...
Download / Learn more Package Citations See dependency  
imguR  
An Imgur.com API Client Package
A complete API client for the image hosting service Imgur.com, including the an imgur graphics devic ...
Download / Learn more Package Citations See dependency  
kriens  
Continuation Passing Style Development
Provides basic functions for Continuation-Passing Style development. ...
Download / Learn more Package Citations See dependency  
shinymodels  
Interactive Assessments of Models
Launch a 'shiny' application for 'tidymodels' results. For classification or regression models, the ...
Download / Learn more Package Citations See dependency  

28,989

R Packages

247,686

Dependencies

76,495

Author Associations

28,990

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA