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CopulaREMADA (version 1.6.2)

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

Description

The bivariate copula mixed model for meta-analysis of diagnostic test accuracy studies in Nikoloulopoulos (2015) and Nikoloulopoulos (2018) . The vine copula mixed model for meta-analysis of diagnostic test accuracy studies accounting for disease prevalence in Nikoloulopoulos (2017) and also accounting for non-evaluable subjects in Nikoloulopoulos (2020) . The hybrid vine copula mixed model for meta-analysis of diagnostic test accuracy case-control and cohort studies in Nikoloulopoulos (2018) . The D-vine copula mixed model for meta-analysis and comparison of two diagnostic tests in Nikoloulopoulos (2019) . The multinomial quadrivariate D-vine copula mixed model for meta-analysis of diagnostic tests with non-evaluable subjects in Nikoloulopoulos (2020) . The one-factor copula mixed model for joint meta-analysis of multiple diagnostic tests in Nikoloulopoulos (2022) . The multinomial six-variate 1-truncated vine copula mixed model for meta-analysis of two diagnostic tests accounting for within and between studies dependence in Nikoloulopoulos (2024).

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Version

Install

install.packages('CopulaREMADA')

Monthly Downloads

601

Version

1.6.2

License

GPL (>= 3.5.0)

Maintainer

Aristidis Nikoloulopoulos

Last Published

April 8th, 2024

Functions in CopulaREMADA (1.6.2)

mgrid

A list containing four-dimensional arrays
mutinom6dVineCopulaREMADA

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
rVineCopulaREMADA

Simulation from trivariate vine copula mixed models for diagnostic test accuaracy studies accounting for disease prevalence and non-evaluable results
vuong

Vuong's test for the comparison of non-nested copula mixed models for diagnostic test accuaracy studies
rCopulaREMADA

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
quadVineCopulaREMADA

Maximum likelihood estimation of quadrivariate D-vine copula mixed models for joint meta-analysis and comparison of two diagnostic tests
rmultinomVineCopulaREMADA

Simulation from multinomial quadrivariate (truncated) D-vine copula mixed models for diagnostic test accurracy studies accounting for non-evaluable outcomes
rcop

Simulation from parametric bivariate copula families
mgrid6d

A list containing six-dimensional arrays
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
tau2par

Mapping of Kendall's tau and copula parameter
vine.vuong

Vuong's test for the comparison of non-nested vine copula mixed models for diagnostic test accuaracy studies
telomerase

The telomerase data
pcondcop

Bivariate copula conditional distribution functions
qcondcop

Bivariate copula conditional quantile functions
mutinomVineCopulaREMADA

Maximum likelhood estimation for multinomial quadrivariate (truncated) D-vine copula mixed models for diagnostic test accurracy studies accounting for non-evaluable outcomes
CT

The computing tomography data
CopulaREMADA-package

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

The lymphangiography data
FactorCopulaREMADA

Maximum likelihood estimation of 1-factor copula mixed models for joint meta-analysis of \(T\) diagnostic tests
coronary

The coronary CT angiography data
OGT

The orale glucose tolerance data
MK2016

The coronary CT angiography data in Menke and Kowalski (2016).
cvinesim

Simulation from a trivariate C-vine copula
dvinesim

Simulation from a (truncated) quadrivariate D-vine copula
MRI

The magnetic resonance imaging data
SROC

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

Maximum likelhood estimation for copula mixed models for diagnostic test accurracy studies
arthritis

The rheumatoid arthritis data
VineCopulaREMADA

Maximum likelhood estimation for (truncated) vine copula mixed models for diagnostic test accurracy studies accounting for disease prevalence and non-evaluable outcomes
hybridCopulaREMADA

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

The beta-D-Glucan-data
Down

The down syndrome data
dcop

Bivariate copula densities
dvine6dsim

Simulation from a six-variate 1-truncated D-vine copula