| CopulaREMADA | Maximum likelhood estimation for copula mixed models for diagnostic test accurracy studies | 
| CopulaREMADA.beta | Maximum likelhood estimation for copula mixed models for diagnostic test accurracy studies | 
| CopulaREMADA.norm | Maximum likelhood estimation for copula mixed models for diagnostic test accurracy studies | 
| coronary | The coronary CT angiography data | 
| countermonotonicCopulaREMADA | Maximum likelhood estimation for copula mixed models for diagnostic test accurracy studies | 
| countermonotonicCopulaREMADA.beta | Maximum likelhood estimation for copula mixed models for diagnostic test accurracy studies | 
| countermonotonicCopulaREMADA.norm | Maximum likelhood estimation for copula mixed models for diagnostic test accurracy studies | 
| countermonotonicity.vuong | Vuong's test for the comparison of non-nested copula mixed models for diagnostic test accuaracy studies | 
| CT | The computing tomography data | 
| cvinesim | Simulation from a trivariate C-vine copula | 
| dbvn | Bivariate copula densities | 
| dcln | Bivariate copula densities | 
| dcln180 | Bivariate copula densities | 
| dcln270 | Bivariate copula densities | 
| dcln90 | Bivariate copula densities | 
| dcop | Bivariate copula densities | 
| dfrk | Bivariate copula densities | 
| Down | The down syndrome data | 
| dtrvinesim | Simulation from a (truncated) quadrivariate D-vine copula | 
| dvine6dsim | Simulation from a six-variate 1-truncated D-vine copula | 
| dvinesim | Simulation from a (truncated) quadrivariate D-vine copula | 
| mgrid | A list containing four-dimensional arrays | 
| mgrid15 | A list containing four-dimensional arrays | 
| mgrid30 | A list containing four-dimensional arrays | 
| mgrid50 | A list containing four-dimensional arrays | 
| mgrid5d | A list containing five-dimensional arrays | 
| mgrid5d15 | A list containing five-dimensional arrays | 
| mgrid5d30 | A list containing five-dimensional arrays | 
| mgrid6d | A list containing six-dimensional arrays | 
| MK2016 | The coronary CT angiography data in Menke and Kowalski (2016). | 
| MRI | The magnetic resonance imaging data | 
| multinom6dVineCopulaREMADA | Maximum likelhood estimation for multinomial six-variate 1-truncated D-vine copula mixed models for meta-analysis of two diagnostic tests accounting for within and between studies dependence | 
| multinom6dVineCopulaREMADA.beta | Maximum likelhood estimation for multinomial six-variate 1-truncated D-vine copula mixed models for meta-analysis of two diagnostic tests accounting for within and between studies dependence | 
| multinom6dVineCopulaREMADA.norm | Maximum likelhood estimation for multinomial six-variate 1-truncated D-vine copula mixed models for meta-analysis of two diagnostic tests accounting for within and between studies dependence | 
| multinomVineCopulaREMADA | Maximum likelhood estimation for multinomial quadrivariate (truncated) D-vine copula mixed models for diagnostic test accurracy studies accounting for non-evaluable outcomes | 
| multinomVineCopulaREMADA.beta | Maximum likelhood estimation for multinomial quadrivariate (truncated) D-vine copula mixed models for diagnostic test accurracy studies accounting for non-evaluable outcomes | 
| multinomVineCopulaREMADA.norm | Maximum likelhood estimation for multinomial quadrivariate (truncated) D-vine copula mixed models for diagnostic test accurracy studies accounting for non-evaluable outcomes | 
| qcondbvn | Bivariate copula conditional quantile functions | 
| qcondcln | Bivariate copula conditional quantile functions | 
| qcondcln180 | Bivariate copula conditional quantile functions | 
| qcondcln270 | Bivariate copula conditional quantile functions | 
| qcondcln90 | Bivariate copula conditional quantile functions | 
| qcondcop | Bivariate copula conditional quantile functions | 
| qcondfrk | Bivariate copula conditional quantile functions | 
| quadVineCopulaREMADA | Maximum likelihood estimation of quadrivariate D-vine copula mixed models for joint meta-analysis and comparison of two diagnostic tests | 
| quadVineCopulaREMADA.beta | Maximum likelihood estimation of quadrivariate D-vine copula mixed models for joint meta-analysis and comparison of two diagnostic tests | 
| quadVineCopulaREMADA.norm | Maximum likelihood estimation of quadrivariate D-vine copula mixed models for joint meta-analysis and comparison of two diagnostic tests | 
| quadVineCopulaREMADA.norm.beta | Maximum likelihood estimation of quadrivariate D-vine copula mixed models for joint meta-analysis and comparison of two diagnostic tests | 
| rbvn | Simulation from parametric bivariate copula families | 
| rcln | Simulation from parametric bivariate copula families | 
| rcln180 | Simulation from parametric bivariate copula families | 
| rcln270 | Simulation from parametric bivariate copula families | 
| rcln90 | Simulation from parametric bivariate copula families | 
| rcop | Simulation from parametric bivariate copula families | 
| rCopulaREMADA | Simulation from copula mixed models for diagnostic test accuaracy studies | 
| rCopulaREMADA.beta | Simulation from copula mixed models for diagnostic test accuaracy studies | 
| rCopulaREMADA.norm | Simulation from copula mixed models for diagnostic test accuaracy studies | 
| rFactorCopulaREMADA | Simulation from 1-factor copula mixed models for joint meta-analysis of T diagnostic tests | 
| rFactorCopulaREMADA.beta | Simulation from 1-factor copula mixed models for joint meta-analysis of T diagnostic tests | 
| rFactorCopulaREMADA.norm | Simulation from 1-factor copula mixed models for joint meta-analysis of T diagnostic tests | 
| rfrk | Simulation from parametric bivariate copula families | 
| rimperfect.trivariateVineCopulaREMADA | Simulation from trivariate 1-truncated D-vine copula mixed models for meta-analysis of diagnostic accuracy studies without a gold standard | 
| rimperfect.trivariateVineCopulaREMADA.beta | Simulation from trivariate 1-truncated D-vine copula mixed models for meta-analysis of diagnostic accuracy studies without a gold standard | 
| rimperfect.trivariateVineCopulaREMADA.norm | Simulation from trivariate 1-truncated D-vine copula mixed models for meta-analysis of diagnostic accuracy studies without a gold standard | 
| rmultinom6dVineCopulaREMADA | Simulation from multinomial six-variate 1-truncated D-vine copula mixed models for meta-analysis of two diagnostic tests accounting for within and between studies dependence | 
| rmultinom6dVineCopulaREMADA.beta | Simulation from multinomial six-variate 1-truncated D-vine copula mixed models for meta-analysis of two diagnostic tests accounting for within and between studies dependence | 
| rmultinom6dVineCopulaREMADA.norm | Simulation from multinomial six-variate 1-truncated D-vine copula mixed models for meta-analysis of two diagnostic tests accounting for within and between studies dependence | 
| rmultinomVineCopulaREMADA | Simulation from multinomial quadrivariate (truncated) D-vine copula mixed models for diagnostic test accurracy studies accounting for non-evaluable outcomes | 
| rmultinomVineCopulaREMADA.beta | Simulation from multinomial quadrivariate (truncated) D-vine copula mixed models for diagnostic test accurracy studies accounting for non-evaluable outcomes | 
| rmultinomVineCopulaREMADA.norm | Simulation from multinomial quadrivariate (truncated) D-vine copula mixed models for diagnostic test accurracy studies accounting for non-evaluable outcomes | 
| rVineCopulaREMADA | Simulation from trivariate vine copula mixed models for diagnostic test accuaracy studies accounting for disease prevalence and non-evaluable results | 
| rVineCopulaREMADA.beta | Simulation from trivariate vine copula mixed models for diagnostic test accuaracy studies accounting for disease prevalence and non-evaluable results | 
| rVineCopulaREMADA.norm | Simulation from trivariate vine copula mixed models for diagnostic test accuaracy studies accounting for disease prevalence and non-evaluable results | 
| tau2par | Mapping of Kendall's tau and copula parameter | 
| tau2par.bvn | Mapping of Kendall's tau and copula parameter | 
| tau2par.cln | Mapping of Kendall's tau and copula parameter | 
| tau2par.cln180 | Mapping of Kendall's tau and copula parameter | 
| tau2par.cln270 | Mapping of Kendall's tau and copula parameter | 
| tau2par.cln90 | Mapping of Kendall's tau and copula parameter | 
| tau2par.frk | Mapping of Kendall's tau and copula parameter | 
| telomerase | The telomerase data | 
| tmultinomVineCopulaREMADA | Maximum likelhood estimation for multinomial quadrivariate (truncated) D-vine copula mixed models for diagnostic test accurracy studies accounting for non-evaluable outcomes | 
| tmultinomVineCopulaREMADA.beta | Maximum likelhood estimation for multinomial quadrivariate (truncated) D-vine copula mixed models for diagnostic test accurracy studies accounting for non-evaluable outcomes | 
| tmultinomVineCopulaREMADA.norm | Maximum likelhood estimation for multinomial quadrivariate (truncated) D-vine copula mixed models for diagnostic test accurracy studies accounting for non-evaluable outcomes | 
| tvine.vuong.beta | Vuong's test for the comparison of non-nested vine copula mixed models for diagnostic test accuaracy studies | 
| tvine.vuong.norm | Vuong's test for the comparison of non-nested vine copula mixed models for diagnostic test accuaracy studies | 
| tvine2.vuong.beta | Vuong's test for the comparison of non-nested vine copula mixed models for diagnostic test accuaracy studies | 
| tvine2.vuong.norm | Vuong's test for the comparison of non-nested vine copula mixed models for diagnostic test accuaracy studies | 
| tVineCopulaREMADA | Maximum likelhood estimation for (truncated) vine copula mixed models for diagnostic test accurracy studies accounting for disease prevalence and non-evaluable outcomes | 
| tVineCopulaREMADA.beta | Maximum likelhood estimation for (truncated) vine copula mixed models for diagnostic test accurracy studies accounting for disease prevalence and non-evaluable outcomes | 
| tVineCopulaREMADA.norm | Maximum likelhood estimation for (truncated) vine copula mixed models for diagnostic test accurracy studies accounting for disease prevalence and non-evaluable outcomes | 
| vine.vuong | Vuong's test for the comparison of non-nested vine copula mixed models for diagnostic test accuaracy studies | 
| vine.vuong.beta | Vuong's test for the comparison of non-nested vine copula mixed models for diagnostic test accuaracy studies | 
| vine.vuong.norm | Vuong's test for the comparison of non-nested vine copula mixed models for diagnostic test accuaracy studies | 
| VineCopulaREMADA | Maximum likelhood estimation for (truncated) vine copula mixed models for diagnostic test accurracy studies accounting for disease prevalence and non-evaluable outcomes | 
| VineCopulaREMADA.beta | Maximum likelhood estimation for (truncated) vine copula mixed models for diagnostic test accurracy studies accounting for disease prevalence and non-evaluable outcomes | 
| VineCopulaREMADA.norm | Maximum likelhood estimation for (truncated) vine copula mixed models for diagnostic test accurracy studies accounting for disease prevalence and non-evaluable outcomes | 
| vuong | Vuong's test for the comparison of non-nested copula mixed models for diagnostic test accuaracy studies | 
| vuong.beta | Vuong's test for the comparison of non-nested copula mixed models for diagnostic test accuaracy studies | 
| vuong.norm | Vuong's test for the comparison of non-nested copula mixed models for diagnostic test accuaracy studies |