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CopulaDTA  

Copula Based Bivariate Beta-Binomial Model for Diagnostic Test Accuracy Studies
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("CopulaDTA", "1.0.1")



Attach the package and use:
library("CopulaDTA")
Maintained by
Victoria N Nyaga
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-12-03
Latest Update: 2023-02-27
Description:
Modelling of sensitivity and specificity on their natural scale using copula based bivariate beta-binomial distribution to yield marginal mean sensitivity and specificity. The intrinsic negative correlation between sensitivity and specificity is modelled using a copula function. A forest plot can be obtained for categorical covariates or for the model with intercept only. Nyaga VN, Arbyn M, Aerts M (2017) .
How to cite:
Victoria N Nyaga (2015). CopulaDTA: Copula Based Bivariate Beta-Binomial Model for Diagnostic Test Accuracy Studies. R package version 1.0.1, https://cran.r-project.org/web/packages/CopulaDTA. Accessed 28 Mar. 2025.
Previous versions and publish date:
0.0.1 (2015-12-03 16:24), 0.0.2 (2016-01-18 22:37), 0.0.3 (2016-06-01 16:22), 0.0.4 (2016-08-08 16:51), 0.0.5 (2017-02-23 17:30), 0.0.6 (2017-10-11 11:51), 0.0.7 (2017-10-11 19:09), 1.0.0 (2017-11-23 16:25), 1.0.1 (2023-02-27 10:32)
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Functions, R codes and Examples using the CopulaDTA R package
Full CopulaDTA package functions and examples
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