Fit the model using Stan sampler
fit.model.sample(dl, num.cores = getOption("DL.num.cores",
max(parallel::detectCores() - 1, 1)), chains = 1, thin = 50, ...)
de.lorean object
Number of cores to run on. Defaults to getOption("DL.num.cores", max(parallel::detectCores()-1, 1))
Number of chains to run on each core
How many samples to generate before retaining one
Extra arguments for rstan::stan() sampling call