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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>.
| Version: | 0.1.0 |
| Imports: | Rcpp |
| LinkingTo: | Rcpp |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2026-07-22 |
| DOI: | 10.32614/CRAN.package.gibbsTI (may not be active yet) |
| Author: | Tony Pourmohamad [aut, cre], Robert Richardson [aut], Bruno Sansó [aut] |
| Maintainer: | Tony Pourmohamad <tpourmohamad at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | yes |
| Citation: | gibbsTI citation info |
| Materials: | README |
| CRAN checks: | gibbsTI results |
| Reference manual: | gibbsTI.html , gibbsTI.pdf |
| Package source: | gibbsTI_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: gibbsTI_0.1.0.zip, r-oldrel: not available |
| macOS binaries: | r-release (arm64): gibbsTI_0.1.0.tgz, r-oldrel (arm64): gibbsTI_0.1.0.tgz, r-release (x86_64): gibbsTI_0.1.0.tgz, r-oldrel (x86_64): gibbsTI_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
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