tolerance: Statistical Tolerance Intervals and Regions
Version 1.3.0

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.

Getting started

Package details

AuthorDerek S. Young [aut, cre]
Date of publication2017-02-04 08:40:19
MaintainerDerek S. Young <derek.young@uky.edu>
LicenseGPL (>= 2)
Version1.3.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("tolerance")

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tolerance documentation built on May 29, 2017, 5:30 p.m.