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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | gibbsTI_0.1.0.tar.gz |
178.6 KiB |
0.1.0 |
rolling linux/noble R-4.5 | gibbsTI_0.1.0.tar.gz |
180.6 KiB |
0.1.0 |
rolling source/ R- | gibbsTI_0.1.0.tar.gz |
75.2 KiB |
0.1.0 |
latest linux/jammy R-4.5 | gibbsTI_0.1.0.tar.gz |
178.6 KiB |
0.1.0 |
latest linux/noble R-4.5 | gibbsTI_0.1.0.tar.gz |
180.6 KiB |
0.1.0 |
latest source/ R- | gibbsTI_0.1.0.tar.gz |
75.2 KiB |
0.1.0 |
2026-04-23 source/ R- | gibbsTI_0.1.0.tar.gz |
0 B |