![]() 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.9.2.1 Step size optimization configuration.9 MCMC Sampling using Hamiltonian Monte Carlo.8.3 Initialize Model Parameters Argument.7 Generating Quantities of Interest from a Fitted Model. ![]() 4.4 Summarizing Sampler Output(s) with stansummary.3.5 C++ compilation and linking optimizations flags. ![]()
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