The bivariate copula mixed model for meta-analysis of diagnostic test accuracy studies in Nikoloulopoulos (2015) <doi:10.1002/sim.6595>. The vine copula mixed model for meta-analysis of diagnostic test accuracy studies accounting for disease prevalence in Nikoloulopoulos (2017) <doi:10.1177/0962280215596769> and also accounting for non-evaluable subjects in Nikoloulopoulos (2020) <doi:10.1515/ijb-2019-0107>. The hybrid vine copula mixed model for meta-analysis of diagnostic test accuracy case-control and cohort studies in Nikoloulopoulos (2018) <doi:10.1177/0962280216682376>. The D-vine copula mixed model for meta-analysis and comparison of two diagnostic tests in Nikoloulopoulos (2019) <doi:10.1177/0962280218796685>. The multinomial quadrivariate D-vine copula mixed model for meta-analysis of diagnostic tests with non-evaluable subjects in Nikoloulopoulos (2020) <doi:10.1177/0962280220913898>. The one-factor copula mixed model for joint meta-analysis of multiple diagnostic tests (2020) <arxiv:2006.09278>.

Bivariate Copula Based Regression Models
This R-packages presents a bivariate, copula-based model
for the joint distribution of a pair of continuous and discrete
random variables. The two marginal random variables are modeled
via generalized linear models, and their joint distribution
(represented by a parametric copula family) is estimated using
maximum-likelihood techniques.

An R Package for Computing Statistical Indices to Detect Answer
Copying on Multiple-Choice Tests
This R package contains several IRT and non-IRT based
statistical indices proposed in the literature for detecting
answer copying on multiple-choice examinations. The current R
package includes the indices that have been shown as effective
and reliable based on the simulation studies. The CopyDetect
package provides results for the Omega index (Wollack, 1996),
Generalized Binomial Test (van der Linden & Sotaridona, 2006),
K index (Holland, 1996), K1 and K2 indices (Sotaridona &
Meijer, 2002), and S1 and S2 indices (Sotaridona & Meijer,
2003).