R: Copula Mixed Models for Multivariate Meta-Analysis of Diagnostic Test Accuracy Studies

# Copula Mixed Models for Multivariate Meta-Analysis of Diagnostic Test Accuracy Studies

## Documentation for package ‘CopulaREMADA’ version 1.7.5

- DESCRIPTION file

## Help Pages

A B C D F H I L M O P Q R S T V

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

## -- A --

arthritis | The rheumatoid arthritis data

## -- B --

betaDG | The beta-D-Glucan-data

## -- C --

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

## -- D --

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

## -- F --

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

## -- H --

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

## -- I --

imperfect.fivevariateVineCopulaREMADA.beta.comprehensive | Maximum likelihood estimation of 5-variate 1-truncated D-vine copula mixed models for meta-analysis of diagnostic accuracy studies without a gold standard
imperfect.fivevariateVineCopulaREMADA.norm.comprehensive | Maximum likelihood estimation of 5-variate 1-truncated D-vine copula mixed models for meta-analysis of diagnostic accuracy studies without a gold standard
imperfect.quadrivariateVineCopulaREMADA.beta.comprehensive | Maximum likelihood estimation of quadrivariate 1-truncated D-vine copula mixed models for meta-analysis of diagnostic accuracy studies without a gold standard
imperfect.quadrivariateVineCopulaREMADA.norm.comprehensive | Maximum likelihood estimation of quadrivariate 1-truncated D-vine copula mixed models for meta-analysis of diagnostic accuracy studies without a gold standard
imperfect.trivariateVineCopulaREMADA | Maximum likelihood estimation of trivariate 1-truncated D-vine copula mixed models for meta-analysis of diagnostic accuracy studies without a gold standard
imperfect.trivariateVineCopulaREMADA.beta | Maximum likelihood estimation of trivariate 1-truncated D-vine copula mixed models for meta-analysis of diagnostic accuracy studies without a gold standard
imperfect.trivariateVineCopulaREMADA.beta.comprehensive | Maximum likelihood estimation of trivariate 1-truncated D-vine copula mixed models for meta-analysis of diagnostic accuracy studies without a gold standard
imperfect.trivariateVineCopulaREMADA.norm | Maximum likelihood estimation of trivariate 1-truncated D-vine copula mixed models for meta-analysis of diagnostic accuracy studies without a gold standard
imperfect.trivariateVineCopulaREMADA.norm.comprehensive | Maximum likelihood estimation of trivariate 1-truncated D-vine copula mixed models for meta-analysis of diagnostic accuracy studies without a gold standard
imperfectCopulaREMADA | Maximum likelihood estimation of bivariate copula mixed models for meta-analysis of diagnostic accuracy studies without a gold standard
imperfectCopulaREMADA.beta | Maximum likelihood estimation of bivariate copula mixed models for meta-analysis of diagnostic accuracy studies without a gold standard
imperfectCopulaREMADA.norm | Maximum likelihood estimation of bivariate copula mixed models for meta-analysis of diagnostic accuracy studies without a gold standard
imperfectREMADA | Maximum likelihood estimation of univariate mixed models for meta-analysis of diagnostic accuracy studies without a gold standard
imperfectREMADA.beta | Maximum likelihood estimation of univariate mixed models for meta-analysis of diagnostic accuracy studies without a gold standard
imperfectREMADA.norm | Maximum likelihood estimation of univariate mixed models for meta-analysis of diagnostic accuracy studies without a gold standard

## -- L --

LAG | The lymphangiography data

## -- M --

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

## -- O --

OGT | The orale glucose tolerance data

## -- P --

Pap | The Pap test 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

## -- Q --

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

## -- R --

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

## -- S --

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

## -- T --

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

## -- V --

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