| 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 |
| 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 |
| 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 |
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