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 05 Aug. 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

dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency  
kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  
dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

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