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. Nyaga VN, Arbyn M, Aerts M (2017) <doi:10.18637/jss.v082.c01>.

Version: 1.0.1
Depends: R (≥ 4.2.0), rstan (≥ 2.21.8)
Imports: methods, ggplot2 (≥ 3.4.1), plyr (≥ 1.8.8), stats (≥ 4.2.2), reshape2 (≥ 1.4.4), grDevices (≥ 4.2.2)
Suggests: knitr, loo, Rmisc, httr, bayesplot, rmarkdown
Published: 2023-02-27
Author: Victoria N Nyaga [aut, cre]
Maintainer: Victoria N Nyaga <victoria.nyaga at>
License: GPL-2
NeedsCompilation: no
Citation: CopulaDTA citation info
Materials: NEWS
CRAN checks: CopulaDTA results


Reference manual: CopulaDTA.pdf
Vignettes: CopulaDTA Package Vignette


Package source: CopulaDTA_1.0.1.tar.gz
Windows binaries: r-prerel:, r-release:, r-oldrel:
macOS binaries: r-prerel (arm64): CopulaDTA_1.0.1.tgz, r-release (arm64): CopulaDTA_1.0.1.tgz, r-oldrel (arm64): CopulaDTA_1.0.1.tgz, r-prerel (x86_64): CopulaDTA_1.0.1.tgz, r-release (x86_64): CopulaDTA_1.0.1.tgz
Old sources: CopulaDTA archive


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