Mamba.jl
release-0.4
  • Introduction
  • Tutorial
  • Variate Types
  • MCMC Types
  • Sampling Functions
  • Examples
    • 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
    • Jaws: Repeated Measures Analysis of Variance
    • Eyes: Normal Mixture Model
  • Conclusion
  • Supplement
  • References
 
Mamba.jl
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ExamplesΒΆ

The following examples are taken from OpenBUGS [38], 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.

  • 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
  • Jaws: Repeated Measures Analysis of Variance
  • Eyes: Normal Mixture Model
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© Copyright 2014, Brian J Smith. Revision e55553e64c01d152006915c7a59fdc577f3d7647.

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