CopulaREMADA-package | Copula Mixed Models for Multivariate Meta-Analysis of Diagnostic Test Accuracy Studies |

arthritis | The rheumatoid arthritis data |

betaDG | The beta-D-Glucan-data |

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 |

FactorCopulaREMADA | Maximum likelihood estimation of 1-factor copula mixed models for joint meta-analysis of T diagnostic tests |

FactorCopulaREMADA.beta | Maximum likelihood estimation of 1-factor copula mixed models for joint meta-analysis of T diagnostic tests |

FactorCopulaREMADA.norm | Maximum likelihood estimation of 1-factor copula mixed models for joint meta-analysis of T diagnostic tests |

hybridCopulaREMADA | Maximum likelhood estimation for hybrid copula mixed models for combining case-control and cohort studies in meta-analysis of diagnostic tests |

hybridCopulaREMADA.beta | Maximum likelhood estimation for hybrid copula mixed models for combining case-control and cohort studies in meta-analysis of diagnostic tests |

hybridCopulaREMADA.norm | Maximum likelhood estimation for hybrid copula mixed models for combining case-control and cohort studies in meta-analysis of diagnostic tests |

LAG | The lymphangiography data |

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 |

OGT | The orale glucose tolerance data |

pcondbvn | Bivariate copula conditional distribution functions |

pcondcln | Bivariate copula conditional distribution functions |

pcondcln180 | Bivariate copula conditional distribution functions |

pcondcln270 | Bivariate copula conditional distribution functions |

pcondcln90 | Bivariate copula conditional distribution functions |

pcondcop | Bivariate copula conditional distribution functions |

pcondfrk | Bivariate copula conditional distribution functions |

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 |

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 |

SROC | Summary receiver operating characteristic curves for copula mixed effect models for bivariate meta-analysis of diagnostic test accuracy studies |

SROC.beta | Summary receiver operating characteristic curves for copula mixed effect models for bivariate meta-analysis of diagnostic test accuracy studies |

SROC.norm | Summary receiver operating characteristic curves for copula mixed effect models for bivariate meta-analysis of diagnostic test accuracy studies |

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 | |

tmultinomVineCopulaREMADA.beta | |

tmultinomVineCopulaREMADA.norm | |

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 | |

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 | |

vine.vuong.beta | |

vine.vuong.norm | |

VineCopulaREMADA | |

VineCopulaREMADA.beta | |

VineCopulaREMADA.norm | |

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 |