Fit the model using Stan variational Bayes
1 2 | fit.model.vb(dl, num.cores = default.num.cores(),
num.inits = num.cores, init.idx = 1, ...)
|
dl |
de.lorean object |
num.cores |
Number of cores to run on. Defaults to default.num.cores() |
num.inits |
Number initialisations to try. Defaults to num.cores |
init.idx |
Which initialisation to use if only using one |
... |
Extra arguments for rstan::vb() |
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