Examples

OpenBUGS

The following examples are taken from OpenBUGS [42], and were used in the development and testing of Mamba. They are provide to illustrate model specification and fitting with the package, and how its syntax compares to other Bayesian modelling software.

Volume I

• Rats: A Normal Hierarchical Model
• Pumps: Gamma-Poisson Hierarchical Model
• Dogs: Loglinear Model for Binary Data
• Seeds: Random Effect Logistic Regression
• Surgical: Institutional Ranking
• Magnesium: Meta-Analysis Prior Sensitivity
• Salm: Extra-Poisson Variation in a Dose-Response Study
• Equiv: Bioequivalence in a Cross-Over Trial
• Dyes: Variance Components Model
• Stacks: Robust Regression
• Epilepsy: Repeated Measures on Poisson Counts
• Blocker: Random Effects Meta-Analysis of Clinical Trials
• Oxford: Smooth Fit to Log-Odds Ratios
• LSAT: Item Response
• Bones: Latent Trait Model for Multiple Ordered Categorical Responses
• Inhalers: Ordered Categorical Data
• Mice: Weibull Regression
• Leuk: Cox Regression

Volume II

• Birats: A Bivariate Normal Hierarchical Model
• Jaws: Repeated Measures Analysis of Variance
• Eyes: Normal Mixture Model

The BUGS Book

• Asthma: State Transitions in a Clinical Trial

Contributed

Additional examples are provided below to further illustrate features of the package.

• GK: Approximate Bayesian Computation
• Line: Approximate Bayesian Computation
• Line: Block-Specific Sampling with AMWG and Slice
• Pollution: Bayesian Variable Selection