bipd: Bayesian Individual Patient Data Meta-Analysis using 'JAGS' (original) (raw)
We use a Bayesian approach to run individual patient data meta-analysis and network meta-analysis using 'JAGS'. The methods incorporate shrinkage methods and calculate patient-specific treatment effects as described in Seo et al. (2021) <doi:10.1002/sim.8859>. This package also includes user-friendly functions that impute missing data in an individual patient data using mice-related packages.
| Version: | 0.3 |
|---|---|
| Depends: | R (≥ 2.10) |
| Imports: | rjags (≥ 4-6), coda (≥ 0.13), mvtnorm, dplyr |
| Suggests: | dclone, R2WinBUGS, mice, micemd, miceadds, mitools, knitr, rmarkdown |
| Published: | 2022-06-05 |
| DOI: | 10.32614/CRAN.package.bipd |
| Author: | Michael Seo [aut, cre] |
| Maintainer: | Michael Seo |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Citation: | bipd citation info |
| Materials: | NEWS |
| In views: | MetaAnalysis |
| CRAN checks: | bipd results |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=bipdto link to this page.