Examples

NIMBLE provides a rich collection of examples to help you get started with statistical modeling and algorithm development. Examples cover a wide range of topics from basic BUGS model usage to advanced algorithm implementation.

Building a model from BUGS code

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Converting to NIMBLE

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Creating a default MCMC

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Customizing an MCMC

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Parallelizing NIMBLE

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Simulating from a model (quickly!)

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Using linear predictors in a regression model

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Building a generalized linear mixed model and an MCMC for it

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Variable selection using reversible jump MCMC (RJMCMC)

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Restarting an MCMC

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Posterior predictive sampling and other post-MCMC use of samples

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Ecology examples from the book Applied Hierarchical Modeling in Ecology

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Writing a new distribution for use in BUGS code: zero-inflated Poisson

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Gaussian process models

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Conditional autoregressive (CAR) models

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Item response theory (IRT) models

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Maximum likelihood via Monte Carlo Expectation-Maximization (MCEM)

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Maximum likelihood (basic example)

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Stochastic volatility modeling using a custom distribution

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Bayesian nonparametric density estimation

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Bayesian nonparametric random effects

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Bayesian nonparametrics with jointly clustered observations

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Using the Pólya-gamma sampler

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