Fit the model using Stan sampler
1 2 | fit.model.sample(dl, num.cores = getOption("DL.num.cores",
max(parallel::detectCores() - 1, 1)), chains = 1, thin = 50, ...)
|
dl |
de.lorean object |
num.cores |
Number of cores to run on. Defaults to getOption("DL.num.cores", max(parallel::detectCores()-1, 1)) |
chains |
Number of chains to run on each core |
thin |
How many samples to generate before retaining one |
... |
Extra arguments for rstan::stan() sampling call |
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