R Observatory: Metrics for FuzzyResampling version 0.6.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

FuzzyResampling

0.6.4Package record

Resampling Methods for Triangular and Trapezoidal Fuzzy Numbers

1packages depend

3.2Kdownloads / year

94.4%test coverage

13/13flavors OK

Overview

About

Maintained by Maciej RomaniukCRAN page ↗GitHub ↗Issues ↗

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. doi:10.2991/eusflat-19.2019.68, Grzegorzewski et al. (2020) doi:10.2991/ijcis.d.201012.003, Grzegorzewski et al. (2020) doi:10.34768/amcs-2020-0022, Grzegorzewski and Romaniuk (2022) doi:10.1007/978-3-030-95929-6_3, Romaniuk and Hryniewicz (2019) doi:10.1007/s00500-018-3251-5). 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, doi:10.1016/j.ejor.2015.11.016)). Additionally, there are procedures which randomly generate trapezoidal fuzzy numbers using some well-known statistical distributions.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("FuzzyResampling", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("mroman-ibs/FuzzyResampling")

Development version from mroman-ibs/FuzzyResampling. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-fuzzyresampling

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-FuzzyResampling

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-FuzzyResampling

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 1.9 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.6.4

READMEYes · 1,102 wordsVignettesYes · 1 · staticNEWSYes · 100% structured · does not mention 0.6.4Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Cites an R Journal article

Help pages: 27 (1 internal)includes a package overview page
Examples that run: 88%23 run in a plain check · 3 never run
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 89%

Vignettes (1)

Resampling Fuzzy Numbers with Statistical Applications: FuzzyResampling Package PDF

How these are measured

Downloads

3.2K

CRAN downloads in the past year

Rank #12,786 · ~9/day · ~270/mo

Releases R versions

Daily download trend is not available in this view yet.

38130 days

87890 days

3.2K1 year

Compare downloads with other packages →

Also on78 r2u9 autocran

How downloads are counted

Repository

mroman-ibs/fuzzyresampling ↗Account: mroman-ibs

0Stars

0Forks

0Open issues

0Open PRs

5Releases

62Commits

1Commit identities

62 commits · Last activity 2024-10-04

Responsiveness

not measured

Releases over time

2022-12-02 · 52026-07-07 · 5

How these are measured

PracticesBeta

6 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/mroman-ibs/fuzzyresampling on 2026-10-18.

Continuous integration (3)

GitHub ActionsR CMD check workflowTravis CI (config file)

The R CMD check workflow runs on Linux and macOS

Docs source (1)

README.Rmd

CRAN release process (1)

CRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

2 external dependencies (excludes base and recommended)

Installing FuzzyResampling adds no packages beyond those that come with R.

Depends (0)

none

Imports (2)

statsutils

LinkingTo (0)

none

Suggests (2)

testthat R.rsp

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

Imports 1

Depends, Imports or LinkingTo, most downloaded first

FuzzyImputationTest

How these are counted

Code & Tests

People & History

People (3)

Maciej Romaniuk

Author, Maintainer since 0.1.0 (2021)

Przemyslaw Grzegorzewski

Author

Olgierd Hryniewicz

Author

Releases (12)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
0.6.4Latest
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2024-10-04 · current release · diff ↗
R
R 4.4.0 released · 2024-04-24
0.6.3
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2023-11-22 · diff ↗
0.6.2
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2023-09-25 · diff ↗
0.6.1
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2023-08-08 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.6.0
record
2022-12-15 · diff ↗
0.5.0
record
2022-12-02 · diff ↗ ·
removed 7 exports
EWmethod, VAAmethod, VAFmethod, VAmethod, classicalBootstrap, dmethod, wmethod

added 20 exports
CalculateAmbiguity, CalculateAmbiguityL, CalculateAmbiguityR, CalculateExpValue, CalculateFuzziness, CalculateValue, CalculateWidth, ClassicalBootstrap, ComparePowerOneSampleCTest, ComparisonOneSampleCTest, ComparisonSEMean, DMethod, EWMethod, GeneratorFuzzyNumbers, VAAMethod, VAFMethod, VAMethod, WMethod, resamplingMethods, samplingGenerators
R
R 4.2.0 released · 2022-04-22
0.4.2
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2022-03-21 · diff ↗
0.4.1
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2022-03-08 · diff ↗
0.4.0
record
2022-01-05 · diff ↗ ·
added 1 export
TwoSampleCTest
0.3.1
record
2021-12-14 · diff ↗
0.3.0
record
2021-11-22 · diff ↗ ·
added 5 exports
BertoluzzaDistance, GeneratorNExpUU, GeneratorNU, OneSampleCTest, SEResamplingMean

Show 2 earlier eventsHide 2 earlier events

0.1.0
record
2021-09-15
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2021-09-15
Total releases: 12 / 5 yrs
License: GPL-3 OSI
Download size: 294 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("FuzzyResampling")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.32614/rj-2023-036.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for FuzzyResampling version 0.6.4 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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