run_mcmc_p | R Documentation |
Run MCMC for multiple scenarios with provided data with parallel processing
run_mcmc_p( dt, priorObj, n.chains, n.adapt, n.burn, n.iter, seed, path, n.cores = 2 )
dt |
a list of |
priorObj |
an object of class |
n.chains |
number of parallel chains for the model |
n.adapt |
number of iterations for adaptation |
n.burn |
number of iterations discarded as burn-in |
n.iter |
number of iterations to monitor |
seed |
the seed of random number generator. Default is the first element of .Random.seed |
path |
file name for saving the output including folder path |
n.cores |
number of processes to parallelize over (default = 2) |
a data.frame
containing summary statistics of the posterior distribution for each simulation
# similar to run_mcmc
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