Low-Level ARIMA function for translating modeltime to forecast
gen_additive_stan_fit_impl(
formula,
data,
chains = 4,
iter = 2000,
warmup = 1000,
...
)A dataframe of xreg (exogenous regressors)
A numeric vector of values to fit
An integer of the number of Markov Chains chains to be run, by default 4 chains are run.
An integer of total iterations per chain including the warm-up, by default the number of iterations are 2000.
A positive integer specifying number of warm-up (aka burn-in) iterations. This also specifies the number of iterations used for step-size adaptation, so warm-up samples should not be used for inference. The number of warmup should not be larger than iter and the default is iter/2.
Additional arguments passed to forecast::Arima
A modeltime model