tolerance: Statistical Tolerance Intervals and Regions

Statistical tolerance limits provide the limits between which we can expect to find a specified proportion of a sampled population with a given level of confidence. This package provides functions for estimating tolerance limits (intervals) for various univariate distributions (binomial, Cauchy, discrete Pareto, exponential, two-parameter exponential, extreme value, hypergeometric, Laplace, logistic, negative binomial, negative hypergeometric, normal, Pareto, Poisson-Lindley, Poisson, uniform, and Zipf-Mandelbrot), Bayesian normal tolerance limits, multivariate normal tolerance regions, nonparametric tolerance intervals, tolerance bands for regression settings (linear regression, nonlinear regression, nonparametric regression, and multivariate regression), and analysis of variance tolerance intervals. Visualizations are also available for most of these settings.

Version: 3.0.0
Depends: R (≥ 3.5.0)
Imports: MASS, plotly, stats4
Published: 2024-04-17
DOI: 10.32614/CRAN.package.tolerance
Author: Derek S. Young ORCID iD [aut, cre], Kedai Cheng ORCID iD [aut]
Maintainer: Derek S. Young <derek.young at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: tolerance citation info
Materials: README NEWS
In views: Distributions
CRAN checks: tolerance results


Reference manual: tolerance.pdf


Package source: tolerance_3.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): tolerance_3.0.0.tgz, r-oldrel (arm64): tolerance_3.0.0.tgz, r-release (x86_64): tolerance_3.0.0.tgz, r-oldrel (x86_64): tolerance_3.0.0.tgz
Old sources: tolerance archive

Reverse dependencies:

Reverse imports: adamethods, fdasrvf, imprecise101, zipfextR
Reverse suggests: PredictionR


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