Package: gibbsTI 0.1.0
Tony Pourmohamad
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:
gibbsTI_0.1.0.tar.gz
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://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:d164e8a226. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 104 | ||
| linux-devel-x86_64 | OK | 127 | ||
| source / vignettes | OK | 186 | ||
| linux-release-arm64 | OK | 105 | ||
| linux-release-x86_64 | OK | 134 | ||
| wasm-release | OK | 108 |
Exports:gibbsTI
Dependencies:Rcpp
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fit a Gibbs Posterior Tolerance Interval | gibbsTI |
