CopulaDTA: Copula Based Bivariate Beta-Binomial Model for Diagnostic Test
Accuracy Studies
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) <doi:10.18637/jss.v082.c01>.
Version: |
1.0.1 |
Depends: |
R (≥ 4.2.0), rstan (≥ 2.21.8) |
Imports: |
methods, ggplot2 (≥ 3.4.1), plyr (≥ 1.8.8), stats (≥
4.2.2), reshape2 (≥ 1.4.4), grDevices (≥ 4.2.2) |
Suggests: |
knitr, loo, Rmisc, httr, bayesplot, rmarkdown |
Published: |
2023-02-27 |
Author: |
Victoria N Nyaga [aut, cre] |
Maintainer: |
Victoria N Nyaga <victoria.nyaga at outlook.com> |
License: |
GPL-2 |
NeedsCompilation: |
no |
Citation: |
CopulaDTA citation info |
Materials: |
NEWS |
CRAN checks: |
CopulaDTA results |
Documentation:
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