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meta4diag (version 2.1.1)

Meta-Analysis for Diagnostic Test Studies

Description

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 . 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).

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Version

Install

install.packages('meta4diag')

Monthly Downloads

321

Version

2.1.1

License

GPL

Maintainer

Jingyi Guo

Last Published

November 30th, 2021

Functions in meta4diag (2.1.1)

Scheidler

Scheidler dataset.
funnel

Funnel plot.
AUC

A function that calculate the area under summary receiver operating chracteristic line.
fitted

Get the estimated values of accuracies for each study.
SROC

A standard summary receiver operating chracteristic plot.
makeData

Make internally used data structure.
crosshair

Crosshair Plot.
Telomerase

Telomerase dataset.
Catheter

The Catheter Segment Culture data.
forest

Forest plot.
summary

Provide summary information.
meta4diag

Function to analyse diagnostic meta-analysis with Bayesian methods using INLA.
meta4diag-package

Meta-Analysis for Diagnostic Test Studies
table_var

The example table prior for variance.
plot

Default meta4diag plotting.
meta4diagGUI

A graphic user interface for meta4diag.
table_cor

The example table prior for correlation.
print

print meta4diag object.
runModel

Run the bivariate model.
makeObject

A function used to make a meta4diag object.
makePriors

Priors for internal use.