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
 [aut, cre],
Christian Roever
[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 |