| runstan_bayes | R Documentation | 
Run Stan on a formatted data ply
runstan_bayes(
  data_list,
  model_path,
  model_name,
  params_out,
  split_dates,
  keep_mcmc = FALSE,
  n_chains = 4,
  n_cores = 4,
  burnin_steps = 1000,
  saved_steps = 1000,
  thin_steps = 1,
  verbose = FALSE,
  ...
)
| data_list | a formatted list of inputs to the Stan model | 
| model_path | the Stan model file to use, as a full file path | 
| model_name | the coded model name, as from mm_name, giving the model structure | 
| params_out | a character vector of parameters whose values in the MCMC runs should be recorded and summarized | 
| keep_mcmc | logical. If TRUE, the Stan output object will be saved. Be careful; these can be big, and a run with many models might overwhelm R's memory. | 
| n_chains | the number of chains to run | 
| n_cores | the number of cores to apply to this run | 
| burnin_steps | the number of steps per chain to run and ignore before starting to collect MCMC 'data' | 
| saved_steps | the number of MCMC steps per chain to save | 
| thin_steps | the number of steps to move before saving another step. 1 means save all steps. | 
| verbose | logical. give status messages? | 
| ... | ignored arguments | 
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