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 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.