Nothing
#' Run multiple chains
#' @param bayesianSetup Object of class "BayesianSetup"
#' @param settings list with settings for sampler
#' @param sampler character, either "Metropolis" or "DE"
#' @return list containing the single runs ($sampler) and the chains in a coda::mcmc.list ($mcmc.list)
#' @keywords internal
mcmcMultipleChains <- function(bayesianSetup, settings, sampler) {
# Get number of chains
nrChains <- settings$nrChains
# Set settings$nrChains to one to avoid infinite loop
settings$nrChains <- 1
# Initialize output
out <- list()
out$sampler <- list()
# Run sampler
for (i in 1:nrChains) {
out$sampler[[i]] <-
runMCMC(bayesianSetup, sampler = sampler, settings = settings)
}
# Make coda::mcmc.list object
for (i in 1:nrChains) {
txtemp <- paste("coda::mcmc(out$sampler[[", i, "]]$chain)", sep = "")
if (i == 1)
tx = txtemp
else
tx <- paste(tx, txtemp, sep = ", ")
}
tx <- paste("coda::mcmc.list(", tx, ")", sep = "")
out$mcmc.list <- eval(parse(text = tx))
return(out)
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.