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>.

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Description file content

Package
CopulaDTA
Type
Package
Title
Copula Based Bivariate Beta-Binomial Model for Diagnostic Test Accuracy Studies
Version
1.0.0
Date
2017-11-23
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)
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) .
License
GPL-2
LazyData
TRUE
RoxygenNote
6.0.1
Suggests
knitr, loo, Rmisc, httr, bayesplot
VignetteBuilder
knitr
NeedsCompilation
no
Packaged
2017-11-23 14:06:19 UTC; Vnyawiranyaga
Author
Victoria N Nyaga [aut, cre]
Maintainer
Victoria N Nyaga
Repository
CRAN
Date/Publication
2017-11-23 15:25:47 UTC

install.packages('CopulaDTA')

1.0.0

23 days ago

Victoria N Nyaga

GPL-2

Depends on

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

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