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

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 vine copula mixed model for meta-analysis of two diagnostic tests accounting for within and between studies dependence in Nikoloulopoulos (2024).

Version: 1.6.2
Depends: R (≥ 3.5.0), statmod, matlab, tensor, mc2d
Published: 2024-04-08
Author: Aristidis K. Nikoloulopoulos
Maintainer: Aristidis K. Nikoloulopoulos <A.Nikoloulopoulos at uea.ac.uk>
License:
NeedsCompilation: no
CRAN checks: CopulaREMADA results

Documentation:

Reference manual: CopulaREMADA.pdf

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Package source: CopulaREMADA_1.6.2.tar.gz
Windows binaries: r-devel: CopulaREMADA_1.6.2.zip, r-release: CopulaREMADA_1.6.2.zip, r-oldrel: CopulaREMADA_1.6.2.zip
macOS binaries: r-release (arm64): CopulaREMADA_1.6.2.tgz, r-oldrel (arm64): CopulaREMADA_1.6.2.tgz, r-release (x86_64): CopulaREMADA_1.6.2.tgz
Old sources: CopulaREMADA archive

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