Non-standard semiparametric regression via BRugs

Authors

Jennifer Marley, Australian Bureau of Statistics
M. Wand, University of WollongongFollow

RIS ID

34944

Publication Details

Marley, J. K. & Wand, M. P.. (2010). Non-standard semiparametric regression via BRugs. Journal of Statistical Software, 37 (5), 1-30.

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.

Link to publisher version (URL)

Journal of Statistical Software