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metapack  

Bayesian Meta-Analysis and Network Meta-Analysis
View on CRAN: Click here


Download and install metapack package within the R console
Install from CRAN:
install.packages("metapack")

Install from Github:
library("remotes")
install_github("cran/metapack")

Install by package version:
library("remotes")
install_version("metapack", "0.3")



Attach the package and use:
library("metapack")
Maintained by
Daeyoung Lim
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-02-17
Latest Update: 2024-01-24
Description:
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) and Hao Li, Daeyoung Lim, Ming-Hui Chen, Joseph G. Ibrahim, Sungduk Kim, Arvind K. Shah, Jianxin Lin (2021) . 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.
How to cite:
Daeyoung Lim (2021). metapack: Bayesian Meta-Analysis and Network Meta-Analysis. R package version 0.3, https://cran.r-project.org/web/packages/metapack. Accessed 06 Mar. 2026.
Previous versions and publish date:
0.1.0 (2021-02-17 11:00), 0.1.1 (2021-02-23 10:40), 0.1.2 (2021-04-21 11:30), 0.1.3 (2021-07-20 06:50), 0.1.4 (2021-10-20 22:00), 0.1.5 (2021-12-14 15:00), 0.2.0 (2022-05-30 20:30), 0.3 (2024-01-24 18:10)
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Complete documentation for metapack
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