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: Jennifer K. Marley, Matthew P. Wand
Title: Non-Standard Semiparametric Regression via BRugs
Abstract: 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.

Page views:: 4842. Submitted: 2009-06-15. Published: 2010-11-16.
Paper: Non-Standard Semiparametric Regression via BRugs     Download PDF (Downloads: 4520)
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DOI: 10.18637/jss.v037.i05

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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.