Non-Standard Semiparametric Regression via BRugs

We provide several illustrations of Bayesian semiparametric regression analyses in the BRugs package. BRugs facilitates use of the BUGS inference engine from the R computing environment and allows analyses to be managed using scripts. The examples are chosen to represent an array of non-standard sit...

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Bibliographic Details
Main Authors: Jennifer K. Marley, Matthew P. Wand
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2010-11-01
Series:Journal of Statistical Software
Subjects:
Online Access:http://www.jstatsoft.org/v37/i05/paper
Description
Summary:We provide several illustrations of Bayesian semiparametric regression analyses in the BRugs package. BRugs facilitates use of the BUGS inference engine from the R computing environment and allows analyses to be managed using scripts. The examples are chosen to represent an array of non-standard situations, for which mixed model software is not viable. The situations include: the response variable being outside of the one-parameter exponential family, data subject to missingness, data subject to measurement error and parameters entering the model via an index.
ISSN:1548-7660