Fuzzy numbers and samples | Level-wise moments | Empirical distribution and goodness of fit | The fuzzy normal and the central limit theorem
Package: FuzzyRandom 0.1.0
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.
Authors:
FuzzyRandom_0.1.0.tar.gz
FuzzyRandom_0.1.0.zip(r-4.7-any)FuzzyRandom_0.1.0.zip(r-4.6-any)FuzzyRandom_0.1.0.zip(r-4.5-any)
FuzzyRandom_0.1.0.tgz(r-4.6-any)FuzzyRandom_0.1.0.tgz(r-4.5-any)
FuzzyRandom_0.1.0.tar.gz(r-4.7-any)FuzzyRandom_0.1.0.tar.gz(r-4.6-any)
FuzzyRandom_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
FuzzyRandom/json (API)
| # Install 'FuzzyRandom' in R: |
| install.packages('FuzzyRandom', repos = c('https://gunjanaggrwal.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:b02278da5b. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 110 | ||
| source / vignettes | OK | 179 | ||
| linux-release | OK | 97 | ||
| macos-release | OK | 194 | ||
| macos-oldrel | OK | 185 | ||
| windows-devel | OK | 69 | ||
| windows-release | OK | 53 | ||
| windows-oldrel | OK | 79 | ||
| wasm-release | OK | 82 |
Exports:alpha_levelsas_fuzzy_samplecltcorrelationcovariancecut_atcutsexpectationfuzzy_ecdffuzzy_from_membershipfuzzy_normalFuzzyNumberFuzzySampleis_fuzzy_numberis_fuzzy_sampleks_testllnn_cutsn_obsrnorm_fuzzyspectral_covariancespectral_variancetrapezoidal_fuzzytriangular_fuzzyvariance
Dependencies:
