Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Pablo Emilio Verde
Title: bamdit: An R Package for Bayesian Meta-Analysis of Diagnostic Test Data
Abstract: In this paper we present the R package bamdit. The name of the package stands for "Bayesian meta-analysis of diagnostic test data". bamdit was developed with the aim of simplifying the use of models in meta-analysis, that up to now have demanded great statistical expertise in Bayesian meta-analysis. The package implements a series of innovative statistical techniques including: the Bayesian summary receiver operating characteristic curve, the use of prior distributions that avoid boundary estimation problems of variances and correlations of random effects, analysis of conflict of evidence and robust estimation of model parameters. In addition, the package comes with several published examples of meta-analysis that can be used for illustration or further research in this area.

Page views:: 6078. Submitted: 2015-06-18. Published: 2018-09-18.
Paper: bamdit: An R Package for Bayesian Meta-Analysis of Diagnostic Test Data     Download PDF (Downloads: 2656)
bamdit_3.2.1.tar.gz: R source package Download (Downloads: 115; 37KB)
v86i10.R: R replication code Download (Downloads: 136; 5KB)

DOI: 10.18637/jss.v086.i10

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.