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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "gibbsTI" in publications use:'
type: software
license: MIT
title: 'gibbsTI: Calibrated Gibbs Posteriors for Tolerance Intervals'
version: 0.1.0
doi: 10.1080/00401706.2026.2699103
abstract: Provides tools for constructing one-sided and two-sided nonparametric tolerance
  intervals using calibrated Gibbs posteriors. The methods target population quantiles
  and content levels while achieving nominal frequentist coverage through data-driven
  calibration. The methodology is described in Pourmohamad, Richardson, and Sansó
  (2026) <https://doi.org/10.1080/00401706.2026.2699103>.
authors:
- family-names: Pourmohamad
  given-names: Tony
  email: tpourmohamad@gmail.com
- family-names: Richardson
  given-names: Robert
- family-names: Sansó
  given-names: Bruno
preferred-citation:
  type: article
  title: Calibrated Bayesian Nonparametric Tolerance Intervals
  authors:
  - family-names: Pourmohamad
    given-names: Tony
    email: tpourmohamad@gmail.com
  - family-names: Richardson
    given-names: Robert
  - family-names: Sansó
    given-names: Bruno
  year: '2026'
  journal: Technometrics
  doi: 10.1080/00401706.2026.2699103
  start: '1'
  end: '27'
repository: https://cran.r-universe.dev
commit: d164e8a226aae7e9c8691e4969b04c293dd199d5
date-released: '2026-07-22'
contact:
- family-names: Pourmohamad
  given-names: Tony
  email: tpourmohamad@gmail.com