MetaStan: Bayesian Meta-Analysis via 'Stan'

Performs Bayesian 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 (2018) <arXiv:1809.04407>.

Version: 0.0.2
Depends: R (≥ 3.4.0), Rcpp (≥ 0.12.17), methods
Imports: rstan (≥ 2.18.1), rstantools (≥ 1.5.0)
LinkingTo: StanHeaders (≥ 2.18.0), rstan (≥ 2.18.1), BH (≥ 1.66.0-1), Rcpp (≥ 0.12.17), RcppEigen (≥ 0.3.3.4.0)
Suggests: testthat, knitr, rmarkdown, ggplot2
Published: 2018-11-15
Author: Burak Kuersad Guenhan [aut, cre], Trustees of Columbia University [cph] (src/init.cpp, tools/make_cpp.R, R/stanmodels.R)
Maintainer: Burak Kuersad Guenhan <burak.gunhan at med.uni-goettingen.de>
BugReports: http://github.com/gunhanb/MetaStan/issues
License: GPL (≥ 3)
URL: http://github.com/gunhanb/MetaStan
NeedsCompilation: yes
SystemRequirements: GNU make
In views: MetaAnalysis
CRAN checks: MetaStan results

Downloads:

Reference manual: MetaStan.pdf
Vignettes: Fitting Binomial-Normal hierarchical model using MetaStan
Package source: MetaStan_0.0.2.tar.gz
Windows binaries: r-devel: MetaStan_0.0.2.zip, r-release: MetaStan_0.0.2.zip, r-oldrel: MetaStan_0.0.2.zip
OS X binaries: r-release: MetaStan_0.0.2.tgz, r-oldrel: MetaStan_0.0.2.tgz
Old sources: MetaStan archive

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