R: Simulation and Resampling Methods for Epistemic Fuzzy Data

# Simulation and Resampling Methods for Epistemic Fuzzy Data

## Documentation for package ‘FuzzySimRes’ version 0.4.8

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

AntitheticBootstrap | Generate a bootstrap sample with the epistemic antithetic bootstrap.
AverageStatisticEpistemicTest | Apply averaging statistics epistemic test for one or two fuzzy samples.
cheeseQualityData | Experts' opinions about cheese quality
CombinePValues | Combine several p-values to obtain a single value.
controlChartData | Fuzzy control charts data
EpistemicBootstrap | Generate a bootstrap sample with the epistemic bootstrap.
EpistemicCorrectedVariance | Calculate the corrected variance using the epistemic bootstrap.
EpistemicEstimator | Apply the epistemic bootstrap to find an estimator.
EpistemicMean | Estimate the mean using the epistemic bootstrap.
EpistemicTest | Apply epistemic test for one or two fuzzy samples.
KSTestCriticalValue | A simple wrapper to provide the p-value for the K-S one- and two-sample test.
MultiStatisticEpistemicTest | Apply multi-statistic epistemic test for one or two fuzzy samples.
ResamplingStatisticEpistemicTest | Apply resampling epistemic test for one or two fuzzy samples.
SimulateFuzzyNumber | Simulate random fuzzy number.
SimulateSample | Simulate a sample of random fuzzy numbers.