Non-standard semiparametric regression via BRugs
- Publication Type:
- Journal Article
- Citation:
- Journal of Statistical Software, 2010, 37 (5), pp. 1 - 30
- Issue Date:
- 2010-01-01
Closed Access
Filename | Description | Size | |||
---|---|---|---|---|---|
2010000377OK.pdf | 2.95 MB |
Copyright Clearance Process
- Recently Added
- In Progress
- Closed Access
This item is closed access and not available.
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.
Please use this identifier to cite or link to this item: