metapack: Bayesian Meta-Analysis and Network Meta-Analysis
Contains functions performing Bayesian inference for meta-analytic and network meta-analytic models through Markov chain Monte Carlo algorithm. Currently, the package implements Hui Yao, Sungduk Kim, Ming-Hui Chen, Joseph G. Ibrahim, Arvind K. Shah, and Jianxin Lin (2015) <doi:10.1080/01621459.2015.1006065> and Hao Li, Daeyoung Lim, Ming-Hui Chen, Joseph G. Ibrahim, Sungduk Kim, Arvind K. Shah, Jianxin Lin (2021) <doi:10.1002/sim.8983>. For maximal computational efficiency, the Markov chain Monte Carlo samplers for each model, written in C++, are fine-tuned. This software has been developed under the auspices of the National Institutes of Health and Merck & Co., Inc., Kenilworth, NJ, USA.
| Version: |
0.3 |
| Depends: |
R (≥ 3.4) |
| Imports: |
Rcpp, ggplot2, methods, gridExtra, Formula |
| LinkingTo: |
Rcpp, RcppArmadillo, RcppProgress, BH |
| Suggests: |
knitr, rmarkdown |
| Published: |
2024-01-24 |
| DOI: |
10.32614/CRAN.package.metapack |
| Author: |
Daeyoung Lim [aut, cre],
Ming-Hui Chen [ctb],
Sungduk Kim [ctb],
Joseph Ibrahim [ctb],
Arvind Shah [ctb],
Jianxin Lin [ctb] |
| Maintainer: |
Daeyoung Lim <Daeyoung.Lim at fda.hhs.gov> |
| BugReports: |
https://github.com/daeyounglim/metapack/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://events.stat.uconn.edu/metapack/ |
| NeedsCompilation: |
yes |
| Citation: |
metapack citation info |
| Materials: |
NEWS |
| In views: |
MetaAnalysis |
| CRAN checks: |
metapack results |
Documentation:
Downloads:
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