TY - JOUR AU - Marley, Jennifer K. AU - Wand, Matthew P. PY - 2010/11/16 Y2 - 2024/03/28 TI - Non-Standard Semiparametric Regression via BRugs JF - Journal of Statistical Software JA - J. Stat. Soft. VL - 37 IS - 5 SE - Articles DO - 10.18637/jss.v037.i05 UR - https://www.jstatsoft.org/index.php/jss/article/view/v037i05 SP - 1 - 30 AB - We provide several illustrations of Bayesian semiparametric regression analyses in the <b>BRugs</b> package. <b>BRugs</b> facilitates use of the <b>BUGS</b> 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. ER -