This function returns a list of MCMC settings to pass to the
$sample() function to fit the model.
The default settings are specified for production-level runs.
All input arguments to $sample()
are configurable by the user. See
$sample() documentation
for details of the available arguments.
Usage
get_mcmc_options(
iter_warmup = 750,
iter_sampling = 500,
seed = NULL,
chains = 4,
adapt_delta = 0.95,
max_treedepth = 12
)Arguments
- iter_warmup
integer indicating the number of warm-up iterations, default is
750.- iter_sampling
integer indicating the number of sampling iterations, default is
500.- seed
integer, A seed for the (P)RNG to pass to CmdStan. In the case of multi-chain sampling the single seed will automatically be augmented by the the run (chain) ID so that each chain uses a different seed. Default is
NULL.- chains
integer indicating the number of MCMC chains to run, default is
4.- adapt_delta
float between 0 and 1 indicating the average acceptance probability, default is
0.95.- max_treedepth
integer indicating the maximum tree depth of the sampler, default is 12.