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.
testthat, knitr, loo, Rmisc, httr, bayesplot

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>.

Copula Mixed Effect Models for Bivariate Meta-Analysis of
Diagnostic Test Accuracy Studies
It has functions to implement the copula mixed model for meta-analysis of diagnostic test accuracy studies and produce SROC curves and summary operating points (a pair of average sensitivity and specificity) with a confidence region and a predictive region. See details for the methodology in Nikoloulopoulos, A.K. (2015) A mixed effect model for bivariate meta-analysis of diagnostic test accuracy studies using  a copula representation of the random effects distribution, ArXiv e-prints.

Copula Mixed Effect Models for Bivariate and Trivariate
Meta-Analysis of Diagnostic Test Accuracy Studies
It has functions to implement the copula mixed models for bivariate and trivariate meta-analysis of diagnostic test accuracy studies in Nikoloulopoulos, A.K. (2015a,b).

It has functions to implement the copula mixed models for bivariate and trivariate meta-analysis of diagnostic test accuracy studies.

Copula Mixed Effect Models for Multivariate Meta-Analysis of
Diagnostic Test Accuracy Studies
It has functions to implement the copula mixed models for multivariate meta-analysis of diagnostic test accuracy studies.