Learn R Programming
⚠️There's a newer version (1.0.1) of this package.Take me there.

CopulaDTA (version 0.0.2)

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

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.

Copy Link

Version

Install

install.packages('CopulaDTA')

Monthly Downloads

18

Version

0.0.2

License

GPL-2

Maintainer

Victoria N Nyaga

Last Published

January 18th, 2016

Functions in CopulaDTA (0.0.2)

cdtafit-class

Class cdtafit
omega.to.ktau

Compute transform omega to ktau.
forestplot.cdtafit

Produce forest plots for categorical covariates.
cdtamodel-class

Class cdtamodel
fit.cdtamodel

Fit copula based bivariate beta-binomial distribution to diagnostic data.
traceplot

Traceplots for cdtafit objects.
waic

Compute log pointwise predictive density, effective number of parameters and WAIC.
cdtamodel

Specify the copula based bivariate beta-binomial distribution to fit to the diagnostic data.
plot,cdtafit,missing-method

Forestplots for cdtafit objects.
traceplot.cdtafit

Trace plot using ggplot2.
summary.cdtafit

Function to generate a summary a cdtafit object.
show,cdtamodel-method

Print a cdtamodel object.
fit

Fit cdtamodel object.
telomerase

Telomerase dataset
ascus

ASCUS dataset
print.cdtafit

Print a summary of the fitted model.
prep.data

Prepare the data