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 (may not be active yet)
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: not available, r-release: not available, r-oldrel: not available
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:

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