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tolerance

3.0.0Package record

Statistical Tolerance Intervals and Regions

5packages dependsuggested by 1
19.2Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13OK
Slowest check: 4.0 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK12 OK, 1 FAILURE2026-06-08
  • ERROR12 OK, 1 ERROR2026-06-07
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 3.0.0
READMEYes · 470 wordsVignettesNoNEWSYes · 33% structuredCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
64 (1 internal)includes a package overview page
Examples that run
100%62 run in a plain check
Exported functions with examples
100%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
98%

Downloads

19.2K
CRAN downloads in the past year
Rank #2,868 · ~53/day · ~1.6K/mo
Daily download trend is not available in this view yet.
1.9K30 days
5K90 days
19.2K1 year
Compare downloads with other packages →
Also on179 r2u9 autocran1K conda_forge157 c2d4u

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing tolerance adds 64 packages (35 with compiled code, 63 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)
R >= 3.5.0
Imports (3)
MASSplotlystats4
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
5direct
4indirect
Imports 5
Suggested by 1
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

People & History

People (2)
Author, Maintainer since 0.1.0 (2009)
Author · added in 3.0.0
Releases (25)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • R
    R 3.1.0 released · 2014-04-10
  • 3.0.3Latest
    record
    2013-10-11 · current release · diff ↗
  • 3.0.0
    record
    2024-04-17 · diff ↗
  • R
    R 3.0.0 released · 2013-04-03
Show 31 earlier eventsHide 31 earlier events

Package metadata

First published
2009-04-07
Total releases
25 / 17 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5.0
Download size
107 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("tolerance")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for tolerance version 3.0.0 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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