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