Usage
parallel_stan(model_code, standata, totaliter, warmup, thin = 1, chains, cl, cores, seeds, modelfit, verbose = FALSE, pars = NA, sample_file = NA, diagnostic_file = NA, init = "random", ...)
Arguments
model_code
A character string of Stan code
standata
A data list suitable for Stan for the model given
totaliter
The total number of iterations for inference.
Note that the total number of iterations is automatically
distributed across chains.
warmup
How many warmup iterations should be used? Note
that every chain will use the same number of warmups and these
will be added on top of the total iterations for each chain.
thin
The thin used, default to 1 indicating that all samples
be saved.
chains
The number of independent chains to run.
cl
(optional) The name of a cluster to use to run the chains.
If not specified, the function will make a new cluster.
cores
(optional) If the cl argument is not used,
this specifies the number of cores to make on the new cluster.
If both cl and cores are missing, defaults to
the minimum of the number of chains specified or the number of
cores available on the machine.
seeds
(optional) A vector of random seeds the same length as the number
of independent chains being run, to make results replicable.
If missing, random seeds will be generated and stored for reference
in the output.
modelfit
(optional) A compiled Stan model, if available, saves
compiling model_code.
verbose
A logical whether to print verbose output
(defaults to FALSE)
pars
Parameter names from Stan to store
sample_file
The sample file for Stan
diagnostic_file
The diagnostic file for Stan
init
A character string (“random”) or a named list of starting values.
...
Additional arguments, not currently used.