dot-stan_args: Gives Stan arguments the appropriate names depending on the...
In chris-prener/falseProphet: Automatic Forecasting Procedure

.stan_args

R Documentation

Gives Stan arguments the appropriate names depending on the chosen Stan backend.

Gives Stan arguments the appropriate names depending on the chosen Stan backend.

.stan_args(model, dat, stan_init, backend, type, mcmc_samples = 0, ...)

`model`	Model object.
`dat`	List containing data to use in fitting.
`stan_init`	Function to initialize parameters for stan fit.
`backend`	"rstan" or "cmdstanr".
`type`	"mcmc" or "optimize".
`mcmc_samples`	Integer, if greater than 0, will do full Bayesian inference with the specified number of MCMC samples. If 0, will do MAP estimation.