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CopulaREMADA  

Copula Mixed Models for Multivariate Meta-Analysis of Diagnostic Test Accuracy Studies
View on CRAN: Click here


Download and install CopulaREMADA package within the R console
Install from CRAN:
install.packages("CopulaREMADA")

Install from Github:
library("remotes")
install_github("cran/CopulaREMADA")

Install by package version:
library("remotes")
install_version("CopulaREMADA", "1.7.3")



Attach the package and use:
library("CopulaREMADA")
Maintained by
Aristidis K. Nikoloulopoulos
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-02-23
Latest Update: 2022-08-07
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).
How to cite:
Aristidis K. Nikoloulopoulos (2015). CopulaREMADA: Copula Mixed Models for Multivariate Meta-Analysis of Diagnostic Test Accuracy Studies. R package version 1.7.3, https://cran.r-project.org/web/packages/CopulaREMADA. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.5-1 (2015-02-23 00:14), 0.9 (2015-06-12 11:10), 1.0 (2016-09-13 11:45), 1.1 (2018-06-22 19:41), 1.2 (2019-02-08 11:24), 1.3 (2019-03-25 09:57), 1.5.1 (2022-08-07 18:10), 1.5 (2022-02-09 12:20), 1.6.2 (2024-04-08 20:00)
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