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 |
Reference manual: | CopulaDTA.pdf |
Vignettes: |
CopulaDTA Package Vignette |
Package source: | CopulaDTA_1.0.0.tar.gz |
Windows binaries: | r-devel: CopulaDTA_1.0.0.zip, r-release: CopulaDTA_1.0.0.zip, r-oldrel: CopulaDTA_1.0.0.zip |
macOS binaries: | r-release: CopulaDTA_1.0.0.tgz, r-oldrel: CopulaDTA_1.0.0.tgz |
Old sources: | CopulaDTA archive |
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