21.6.2 Infinite and Not-a-Number Values.21.6 Integer- and Real-Valued Variables.21.5 Matrix- and Vector-Valued Variables.18 print (deprecated): MCMC Output Analysis.17.3.3 Low E-BFMI values - sampler transitions HMC potential energy.17.3.1 Divergent transitions after warmup.17.3 diagnose Warnings and Recommendations.17 diagnose: Diagnosing Biased Hamiltonian Monte Carlo Inferences.16.2.2 Model Parameters and Quantities of Interest.13 Diagnosing HMC by Comparison of Gradients. 11 Variational Inference Algorithm: ADVI.9.5.9 Suppressing progress updates to the console.9.5.8 Capturing Hamiltonian diagnostics and gradients.9.5.6 Changing the NUTS-HMC adaptation parameters.9.5.5 Specifying the metric and stepsize.9.5.2 Changing the default warmup and sampling iterations.9.5.1 Running multiple chains with a specified RNG seed.9.3.1 Samples from a set of fixed parameters.
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