CopulaDTA: Copula Based Bivariate Beta-Binomial Model for Diagnostic Test Accuracy Studies

Modelling of sensitivity and specificity on their natural scale using copula based bivariate beta-binomial distribution to yield marginal mean sensitivity and specificity. The intrinsic negative correlation between sensitivity and specificity is modelled using a copula function. A forest plot can be obtained for categorical covariates or for the model with intercept only.

Version: 0.0.5
Depends: R (≥ 3.3.2), rstan (≥ 2.12.1)
Imports: methods, ggplot2 (≥ 2.2.0), plyr (≥ 1.8.3), stats (≥ 3.2.2), reshape2 (≥ 1.4.1), grDevices (≥ 3.2.2)
Suggests: testthat, knitr, loo, Rmisc, httr, bayesplot
Published: 2017-02-23
Author: Victoria N Nyaga [aut, cre]
Maintainer: Victoria N Nyaga <victoria.nyaga at>
License: GPL-2
NeedsCompilation: no
Citation: CopulaDTA citation info
CRAN checks: CopulaDTA results


Reference manual: CopulaDTA.pdf
Vignettes: CopulaDTA Package Vignette
Package source: CopulaDTA_0.0.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: CopulaDTA_0.0.5.tgz
OS X Mavericks binaries: r-oldrel: CopulaDTA_0.0.5.tgz
Old sources: CopulaDTA archive


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