Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
WebBUGS: Conducting Bayesian Statistical Analysis Online | Zhang | Journal of Statistical Software
Authors: Zhiyong Zhang
Title: WebBUGS: Conducting Bayesian Statistical Analysis Online
Abstract: A web interface, named WebBUGS, is developed to conduct Bayesian analysis online over the Internet through OpenBUGS and R. WebBUGS can be used with the minimum requirement of a web browser both remotely and locally. WebBUGS has many collaborative features such as email notification and sharing. WebBUGS also eases the use of OpenBUGS by providing built-in model templates, data management module, and other useful modules. In this paper, the use of WebBUGS is illustrated and discussed.

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Paper: WebBUGS: Conducting Bayesian Statistical Analysis Online     Download PDF (Downloads: 3387)
Supplements: WebBUGS source code Download (Downloads: 272; 2MB)
v61i07.txt: Example code from the manuscript Download (Downloads: 206; 4KB)
metadata.txt: Example data Download (Downloads: 198; 130B)

DOI: 10.18637/jss.v061.i07

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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.