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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:

Reference manual: metapack.pdf
Vignettes: Introduction to metapack

Downloads:

Package source: metapack_0.3.tar.gz
Windows binaries: r-devel: metapack_0.3.zip, r-release: metapack_0.3.zip, r-oldrel: metapack_0.3.zip
macOS binaries: r-release (arm64): metapack_0.3.tgz, r-oldrel (arm64): metapack_0.3.tgz, r-release (x86_64): metapack_0.3.tgz, r-oldrel (x86_64): metapack_0.3.tgz
Old sources: metapack archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=metapack to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.