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: | 0.2.3 |
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: | 2021-01-29 |
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 |
Reference manual: | EvidenceSynthesis.pdf |
Vignettes: |
Effect estimate using non-normal likelihood approximations |
Package source: | EvidenceSynthesis_0.2.3.tar.gz |
Windows binaries: | r-devel: EvidenceSynthesis_0.2.3.zip, r-release: EvidenceSynthesis_0.2.3.zip, r-oldrel: EvidenceSynthesis_0.2.3.zip |
macOS binaries: | r-release: EvidenceSynthesis_0.2.3.tgz, r-oldrel: EvidenceSynthesis_0.2.3.tgz |
Old sources: | EvidenceSynthesis archive |
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