Title: Copula Based Bivariate Beta-Binomial Model for Diagnostic Test
Authors@R: person("Victoria", "N Nyaga", email="victoria.nyaga@outlook.com", role=c("aut", "cre"))
Description: 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.
Packaged: 2015-12-03 12:40:08 UTC; Vnyawiranyaga
Maintainer: Victoria N Nyaga <victoria.nyaga@outlook.com>

Imports: methods, ggplot2 (>= 1.0.1), plyr (>= 1.8.3), stats (>=

Suggests: testthat, knitr, loo, Rmisc, httr

Imports: methods, ggplot2 (>= 2.2.0), plyr (>= 1.8.3), stats (>=
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.
Suggests: testthat, knitr, loo, Rmisc, httr, bayesplot
Packaged: 2017-02-23 10:46:48 UTC; Vnyawiranyaga

Imports: methods, ggplot2 (>= 2.2.1), plyr (>= 1.8.4), stats (>=
Suggests: knitr, loo, Rmisc, httr, bayesplot
Packaged: 2017-10-11 09:39:47 UTC; Vnyawiranyaga

Packaged: 2017-10-11 13:54:56 UTC; Vnyawiranyaga

Packaged: 2017-11-23 14:06:19 UTC; Vnyawiranyaga

Title: Copula Mixed Effect Models for Bivariate Meta-Analysis of
Author: Aristidis K. Nikoloulopoulos <A.Nikoloulopoulos@uea.ac.uk>
Maintainer: Aristidis K. Nikoloulopoulos <A.Nikoloulopoulos@uea.ac.uk>
Description: 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.