Package: MetaStan
Version: 1.0.0
Title: Bayesian Meta-Analysis via 'Stan'
Description: 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>.
Authors@R: c(person("Burak Kuersad", "Guenhan", email="burakgunhan@gmail.com", 
             role = c("aut", "cre"), comment = c(ORCID = "0000-0002-7454-8680")),
             person("Christian", "Roever", email="christian.roever@med.uni-goettingen.de", 
             role=c("aut"), comment = c(ORCID = "0000-0002-6911-698X")),
             person("Trustees of", "Columbia University", role="cph", comment="src/init.cpp, 
             tools/make_cpp.R, R/stanmodels.R"))
License: GPL (>= 3)
Encoding: UTF-8
Date: 2021-12-23
LazyData: true
ByteCompile: true
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
Suggests: testthat, knitr, rmarkdown, ggplot2, shinystan, vdiffr
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),
SystemRequirements: GNU make
NeedsCompilation: yes
RoxygenNote: 7.1.2
URL: https://github.com/gunhanb/MetaStan
BugReports: https://github.com/gunhanb/MetaStan/issues
VignetteBuilder: knitr
Packaged: 2022-01-22 10:25:53 UTC; M305767
Author: Burak Kuersad Guenhan [aut, cre]
    (<https://orcid.org/0000-0002-7454-8680>),
  Christian Roever [aut] (<https://orcid.org/0000-0002-6911-698X>),
  Trustees of Columbia University [cph] (src/init.cpp, tools/make_cpp.R,
    R/stanmodels.R)
Maintainer: Burak Kuersad Guenhan <burakgunhan@gmail.com>
Repository: CRAN
Date/Publication: 2022-01-22 12:22:46 UTC
Built: R 4.4.3; x86_64-w64-mingw32; 2025-11-26 05:06:07 UTC; windows
Archs: x64
