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FuzzyRandom: Level-Wise Statistics for Fuzzy Random Variables

Level-wise statistical methods for fuzzy random variables, implementing the Puri-Ralescu framework. Provides level-wise empirical distribution functions, moments, covariance and correlation, a level-wise Kolmogorov-Smirnov goodness-of-fit test, an approximate fuzzy normal distribution with simulation, and level-wise central limit theorem and law of large numbers inference. The package only depends on base R.

Version: 0.1.0
Imports: stats, graphics, grDevices
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2026-10-21
DOI: 10.32614/CRAN.package.FuzzyRandom
Author: Gunjan Aggrwal ORCID iD [aut, cre], Mukul Bijalwan ORCID iD [aut], Mukul Jain [aut]
Maintainer: Gunjan Aggrwal <gunjanuk1994 at gmail.com>
License: GPL-3
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: FuzzyRandom results

Documentation:

Reference manual: FuzzyRandom.html , FuzzyRandom.pdf
Vignettes: Statistics of Fuzzy Random Variables (source, R code)

Downloads:

Package source: FuzzyRandom_0.1.0.tar.gz
Windows binaries: r-devel: FuzzyRandom_0.1.0.zip, r-release: FuzzyRandom_0.1.0.zip, r-oldrel: FuzzyRandom_0.1.0.zip
macOS binaries: r-release (arm64): FuzzyRandom_0.1.0.tgz, r-oldrel (arm64): FuzzyRandom_0.1.0.tgz, r-release (x86_64): FuzzyRandom_0.1.0.tgz, r-oldrel (x86_64): FuzzyRandom_0.1.0.tgz

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.