EmpiricalCalibration
Routines for Performing Empirical Calibration of Observational Study Estimates
Routines for performing empirical calibration of observational study estimates. By using a set of negative control hypotheses we can estimate the empirical null distribution of a particular observational study setup. This empirical null distribution can be used to compute a calibrated p-value, which reflects the probability of observing an estimated effect size when the null hypothesis is true taking both random and systematic error into account. A similar approach can be used to calibrate confidence intervals, using both negative and positive controls. For more details, see Schuemie et al. (2013) <doi:10.1002/sim.5925> and Schuemie et al. (2018) <doi:10.1073/pnas.1708282114>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
3.1.4 |
rolling linux/jammy R-4.5 | EmpiricalCalibration_3.1.4.tar.gz |
1.5 MiB |
3.1.4 |
rolling linux/noble R-4.5 | EmpiricalCalibration_3.1.4.tar.gz |
1.5 MiB |
3.1.4 |
rolling source/ R- | EmpiricalCalibration_3.1.4.tar.gz |
1.4 MiB |
3.1.4 |
latest linux/jammy R-4.5 | EmpiricalCalibration_3.1.4.tar.gz |
1.5 MiB |
3.1.4 |
latest linux/noble R-4.5 | EmpiricalCalibration_3.1.4.tar.gz |
1.5 MiB |
3.1.4 |
latest source/ R- | EmpiricalCalibration_3.1.4.tar.gz |
1.4 MiB |
3.1.4 |
2026-04-26 source/ R- | EmpiricalCalibration_3.1.4.tar.gz |
1.4 MiB |
3.1.4 |
2026-04-23 source/ R- | EmpiricalCalibration_3.1.4.tar.gz |
1.4 MiB |
3.1.4 |
2026-04-09 windows/windows R-4.5 | EmpiricalCalibration_3.1.4.zip |
1.9 MiB |
3.1.4 |
2025-04-20 source/ R- | EmpiricalCalibration_3.1.4.tar.gz |
1.4 MiB |