liesel.goose#
Goose MCMC framework.
Modules
MCMC engine builder |
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MCMC chains |
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Dual averaging. |
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MCMC engine |
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MCMC epochs. |
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Gibbs sampler. |
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Hamiltonian/Hybrid Monte Carlo (HMC). |
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Iteratively weighted least squares (IWLS) sampler |
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Utilities for the IWLS sampler. |
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Kernel-related info, outcome and mixin classes. |
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Kernel sequence. |
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Metropolis-Hastings. |
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Metroplis Hastings kernel. |
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Inverse mass matrix tuner. |
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Model interfaces. |
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No U-Turn Sampler (NUTS). |
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Pytree utilities. |
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Random walk sampler. |
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Posterior statistics and diagnostics. |
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Diagnostic plots of the posterior samples. |
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Type aliases, type variables and protocols. |
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Standard warmup schemes. |