|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.
Non-Standard Semiparametric Regression via BRugs
This work is licensed under the licenses
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.