The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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
DOI: 10.32614/CRAN.package.MetaStan
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-release: MetaStan_1.0.0.zip, r-oldrel: MetaStan_1.0.0.zip
macOS binaries: r-release (arm64): MetaStan_1.0.0.tgz, r-oldrel (arm64): MetaStan_1.0.0.tgz, r-release (x86_64): MetaStan_1.0.0.tgz, r-oldrel (x86_64): MetaStan_1.0.0.tgz
Old sources: MetaStan archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MetaStan 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.