Routines for combining causal effect estimates and study diagnostics across multiple data sites in a distributed study, without sharing patient-level data.
Allows for normal and non-normal approximations of the data-site likelihood of the effect parameter.
| Version: |
0.3.0 |
| Depends: |
survival, R (≥ 3.5.0) |
| Imports: |
ggplot2, gridExtra, meta, EmpiricalCalibration, rJava, BeastJar, Cyclops (≥ 3.1.0), HDInterval, coda, rlang, methods |
| Suggests: |
knitr, rmarkdown, testthat, sn |
| Published: |
2022-09-09 |
| Author: |
Martijn Schuemie [aut, cre],
Marc A. Suchard [aut],
Observational Health Data Science and Informatics [cph] |
| Maintainer: |
Martijn Schuemie <schuemie at ohdsi.org> |
| BugReports: |
https://github.com/OHDSI/EvidenceSynthesis/issues |
| License: |
Apache License 2.0 |
| URL: |
https://ohdsi.github.io/EvidenceSynthesis/,
https://github.com/OHDSI/EvidenceSynthesis |
| NeedsCompilation: |
no |
| SystemRequirements: |
Java version 8 or higher (https://www.java.com/) |
| Materials: |
README NEWS |
| CRAN checks: |
EvidenceSynthesis results |