CRAN/E | CopulaDTA

CopulaDTA

Copula Based Bivariate Beta-Binomial Model for Diagnostic Test Accuracy Studies

Installation

About

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.

Citation CopulaDTA citation info

Key Metrics

Version 1.0.0
R ≥ 3.4.2
Published 2017-11-23 2335 days ago
Needs compilation? no
License GPL-2
CRAN checks CopulaDTA results

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Maintainer

Maintainer

Victoria N Nyaga

victoria.nyaga@outlook.com

Authors

Victoria N Nyaga

aut / cre

Material

Reference manual
Package source

In Views

MetaAnalysis

Vignettes

CopulaDTA Package Vignette

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

CopulaDTA archive

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