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:

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