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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>.

Version: 3.1.2
Depends: R (≥ 3.5.0)
Imports: ggplot2 (≥ 2.0.0), gridExtra, methods, rlang, Rcpp
LinkingTo: Rcpp
Suggests: knitr, markdown, rmarkdown, testthat, Cyclops, survival, Sequential
Published: 2023-12-21
Author: Martijn Schuemie ORCID iD [aut, cre], Marc Suchard ORCID iD [aut]
Maintainer: Martijn Schuemie <schuemie at ohdsi.org>
BugReports: https://github.com/OHDSI/EmpiricalCalibration/issues
License: Apache License 2.0
URL: https://ohdsi.github.io/EmpiricalCalibration/, https://github.com/OHDSI/EmpiricalCalibration
NeedsCompilation: yes
Citation: EmpiricalCalibration citation info
Materials: README NEWS
CRAN checks: EmpiricalCalibration results

Documentation:

Reference manual: EmpiricalCalibration.pdf
Vignettes: Empirical calibration of confidence intervals
Empirical calibration and MaxSPRT
Empirical calibration of p-values

Downloads:

Package source: EmpiricalCalibration_3.1.2.tar.gz
Windows binaries: r-devel: EmpiricalCalibration_3.1.2.zip, r-release: EmpiricalCalibration_3.1.2.zip, r-oldrel: EmpiricalCalibration_3.1.2.zip
macOS binaries: r-release (arm64): EmpiricalCalibration_3.1.2.tgz, r-oldrel (arm64): EmpiricalCalibration_3.1.2.tgz, r-release (x86_64): EmpiricalCalibration_3.1.2.tgz, r-oldrel (x86_64): EmpiricalCalibration_3.1.2.tgz
Old sources: EmpiricalCalibration archive

Reverse dependencies:

Reverse imports: EvidenceSynthesis

Linking:

Please use the canonical form https://CRAN.R-project.org/package=EmpiricalCalibration to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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