Meta-Analysis for Diagnostic Test Studies
Default meta4diag plotting.
print meta4diag object.
Run the bivariate model.
A standard summary receiver operating chracteristic plot.
Provide summary information.
A function that calculate the area under summary receiver operating ch...
Crosshair Plot.
Get the estimated values of accuracies for each study.
Forest plot.
Funnel plot.
Make internally used data structure.
A function used to make a meta4diag object.
Priors for internal use.
Meta-Analysis for Diagnostic Test Studies
Function to analyse diagnostic meta-analysis with Bayesian methods usi...
A graphic user interface for meta4diag.
Bayesian inference analysis for bivariate meta-analysis of diagnostic test studies using integrated nested Laplace approximation with INLA. A purpose built graphic user interface is available. The installation of R package INLA is compulsory for successful usage. The INLA package can be obtained from <https://www.r-inla.org>. We recommend the testing version, which can be downloaded by running: install.packages("INLA", repos=c(getOption("repos"), INLA="https://inla.r-inla-download.org/R/testing"), dep=TRUE).