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: |
1.0.0 |
| Depends: |
R (≥ 3.4.2), rstan (≥ 2.16.2) |
| Imports: |
methods, ggplot2 (≥ 2.2.1), plyr (≥ 1.8.4), stats (≥
3.4.2), reshape2 (≥ 1.4.2), grDevices (≥ 3.4.2) |
| Suggests: |
knitr, loo, Rmisc, httr, bayesplot |
| Published: |
2017-11-23 |
| Author: |
Victoria N Nyaga [aut, cre] |
| Maintainer: |
Victoria N Nyaga <victoria.nyaga at outlook.com> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| Citation: |
CopulaDTA citation info |
| In views: |
MetaAnalysis |
| CRAN checks: |
CopulaDTA results |
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