Package: gibbsTI 0.1.0

gibbsTI: Calibrated Gibbs Posteriors for Tolerance Intervals

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) <doi:10.1080/00401706.2026.2699103>.

Authors:Tony Pourmohamad [aut, cre], Robert Richardson [aut], Bruno Sansó [aut]

gibbsTI_0.1.0.tar.gz
gibbsTI_0.1.0.zip(r-4.7-x86_64)gibbsTI_0.1.0.zip(r-4.6-x86_64)gibbsTI_0.1.0.zip(r-4.5-x86_64)
gibbsTI_0.1.0.tgz(r-4.6-x86_64)gibbsTI_0.1.0.tgz(r-4.6-arm64)gibbsTI_0.1.0.tgz(r-4.5-x86_64)gibbsTI_0.1.0.tgz(r-4.5-arm64)
gibbsTI_0.1.0.tar.gz(r-4.7-arm64)gibbsTI_0.1.0.tar.gz(r-4.7-x86_64)gibbsTI_0.1.0.tar.gz(r-4.6-arm64)gibbsTI_0.1.0.tar.gz(r-4.6-x86_64)
gibbsTI_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
gibbsTI/json (API)

# Install 'gibbsTI' in R:
install.packages('gibbsTI', repos = c('https://tpourmohamad.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tpourmohamad/gibbsti/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

3.40 score 1 exports 1 dependencies

Last updated from:ea0adec231. Checks:11 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64WARNING131
linux-devel-x86_64WARNING159
source / vignettesOK180
linux-release-arm64WARNING126
linux-release-x86_64WARNING161
macos-release-arm64WARNING79
macos-release-x86_64WARNING329
macos-oldrel-arm64WARNING105
macos-oldrel-x86_64WARNING219
windows-devel-x86_64WARNING92
windows-release-x86_64WARNING102
windows-oldrel-x86_64WARNING112
wasm-releaseOK105

Exports:gibbsTI

Dependencies:Rcpp