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:

Reference manual: bamdit.pdf
Package source: bamdit_1.1-1.tar.gz
Windows binaries: r-devel: bamdit_1.1-1.zip, r-release: bamdit_1.1-1.zip, r-oldrel: bamdit_1.1-1.zip
OS X Snow Leopard binaries: r-release: bamdit_1.1-1.tgz, r-oldrel: bamdit_1.1-1.tgz
OS X Mavericks binaries: r-release: bamdit_1.1-1.tgz
Old sources: bamdit archive