dcop

dbvn

dfrk

dcln

dcln90

dcln180

dcln270

Bivariate copula densities for parametric families.

distribution

copula

The bivariate copula mixed model for meta-analysis of diagnostic test accuracy studies in Nikoloulopoulos (2015) <doi:10.1002/sim.6595> and Nikoloulopoulos (2018) <doi:10.1007/s10182-017-0299-y>. The vine copula mixed model for meta-analysis of diagnostic test accuracy studies accounting for disease prevalence in Nikoloulopoulos (2017) <doi:10.1177/0962280215596769> and also accounting for non-evaluable subjects in Nikoloulopoulos (2020) <doi:10.1515/ijb-2019-0107>. The hybrid vine copula mixed model for meta-analysis of diagnostic test accuracy case-control and cohort studies in Nikoloulopoulos (2018) <doi:10.1177/0962280216682376>. The D-vine copula mixed model for meta-analysis and comparison of two diagnostic tests in Nikoloulopoulos (2019) <doi:10.1177/0962280218796685>. The multinomial quadrivariate D-vine copula mixed model for meta-analysis of diagnostic tests with non-evaluable subjects in Nikoloulopoulos (2020) <doi:10.1177/0962280220913898>. The one-factor copula mixed model for joint meta-analysis of multiple diagnostic tests in Nikoloulopoulos (2022) <doi:10.1111/rssa.12838>. The multinomial six-variate 1-truncated D-vine copula mixed model for meta-analysis of two diagnostic tests accounting for within and between studies dependence in Nikoloulopoulos (2024) <doi:10.1177/09622802241269645>. The 1-truncated D-vine copula mixed models for meta-analysis of diagnostic accuracy studies without a gold standard (Nikoloulopoulos, 2024).

Aristidis Nikoloulopoulos

CopulaREMADA

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

dcop function

<dl><dt>u</dt>
<dd>value in interval 0,1; could be a vector</dd><dt>v</dt>
<dd>value in interval 0,1; could be a vector</dd><dt>cpar</dt>
<dd>copula parameter: scalar.</dd></dl>

Arguments

Bivariate copula densities — dcop

<dl>

<dt>u</dt>
<dd>value in interval 0,1; could be a vector</dd>

<dt>v</dt>
<dd>value in interval 0,1; could be a vector</dd>

<dt>cpar</dt>
<dd>copula parameter: scalar.</dd>

</dl>

Bivariate copula densities

dcop: Bivariate copula densities

Description

Usage

Value

Arguments

Details

References

See Also