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  • 标题:Non-Standard Semiparametric Regression via BRugs
  • 本地全文:下载
  • 作者:Jennifer K. Marley ; Matthew P. Wand
  • 期刊名称:Journal of Statistical Software
  • 印刷版ISSN:1548-7660
  • 电子版ISSN:1548-7660
  • 出版年度:2010
  • 卷号:37
  • 期号:1
  • 页码:1-30
  • 语种:English
  • 出版社:University of California, Los Angeles
  • 摘要: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.
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