bamdit: Bayesian Meta-Analysis of diagnostic test data
Bayesian meta-analysis of diagnostic test data based on a
scale mixtures bivariate random-effects model. Summary
statistics are based on pooled and predictive sensitivities and
specificities. Model checking is used for diagnostic of
random-effects' misfit and predictive data is used to assess
models departures from observed data.
| Version: |
1.1-1 |
| Depends: |
R (≥ 2.9.0), coda (≥ 0.13), rjags (≥ 2.2.0-4) |
| Published: |
2011-12-08 |
| Author: |
Dr. Pablo Emilio Verde &
Arnold Sykosch |
| Maintainer: |
Dr. Pablo Emilio Verde
<pabloemilio.verde at uni-duesseldorf.de> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| SystemRequirements: |
jags (>= 2.2.0) |
| Materials: |
ChangeLog |
| In views: |
MetaAnalysis |
| CRAN checks: |
bamdit results |
Downloads: