MetaStan: Bayesian Meta-Analysis via 'Stan'

Performs Bayesian meta-analysis, meta-regression and model-based meta-analysis using 'Stan'. Includes binomial-normal hierarchical models and option to use weakly informative priors for the heterogeneity parameter and the treatment effect parameter which are described in Guenhan, Roever, and Friede (2020) <doi:10.1002/jrsm.1370>.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 0.12.17), methods, rstan (≥ 2.18.1), rstantools (≥ 1.5.0), loo (≥ 2.0), forestplot (≥ 1.6), metafor (≥ 2.0-0), HDInterval, coda
LinkingTo: StanHeaders (≥ 2.18.0), rstan (≥ 2.18.1), BH (≥ 1.66.0-1), Rcpp (≥ 0.12.17), RcppEigen (≥ 0.3.3.4.0), RcppParallel (≥ 5.0.1)
Suggests: testthat, knitr, rmarkdown, ggplot2, shinystan, vdiffr
Published: 2022-01-22
Author: Burak Kuersad Guenhan ORCID iD [aut, cre], Christian Roever ORCID iD [aut], Trustees of Columbia University [cph] (src/init.cpp, tools/make_cpp.R, R/stanmodels.R)
Maintainer: Burak Kuersad Guenhan <burakgunhan at gmail.com>
BugReports: https://github.com/gunhanb/MetaStan/issues
License: GPL (≥ 3)
URL: https://github.com/gunhanb/MetaStan
NeedsCompilation: yes
SystemRequirements: GNU make
In views: MetaAnalysis
CRAN checks: MetaStan results

Documentation:

Reference manual: MetaStan.pdf
Vignettes: Conducting meta-analysis using MetaStan

Downloads:

Package source: MetaStan_1.0.0.tar.gz
Windows binaries: r-devel: MetaStan_1.0.0.zip, r-devel-UCRT: MetaStan_1.0.0.zip, r-release: MetaStan_1.0.0.zip, r-oldrel: MetaStan_1.0.0.zip
macOS binaries: r-release (arm64): MetaStan_0.4.0.tgz, r-release (x86_64): MetaStan_1.0.0.tgz, r-oldrel: MetaStan_1.0.0.tgz
Old sources: MetaStan archive

Linking:

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