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WebBUGS: Conducting Bayesian Statistical Analysis Online

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  • Zhang, Zhiyong

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.

Suggested Citation

  • Zhang, Zhiyong, 2014. "WebBUGS: Conducting Bayesian Statistical Analysis Online," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 61(i07).
    • Handle: RePEc:jss:jstsof:v:061:i07
    DOI: http://hdl.handle.net/10.18637/jss.v061.i07
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    Cited by:

    1. Holli-Anne Passmore & Andrew J. Howell & Mark D. Holder, 2018. "Positioning Implicit Theories of Well-Being Within a Positivity Framework," Journal of Happiness Studies, Springer, vol. 19(8), pages 2445-2463, December.
    2. Zhiyong Zhang, 2018. "A Review of Bayesian Psychometric Modeling," Journal of Educational and Behavioral Statistics, , vol. 43(4), pages 502-505, August.

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