View source: R/parsnip-gen_additive_reg.R
gen_additive_stan_fit_impl | R Documentation |
Low-Level ARIMA function for translating modeltime to forecast
gen_additive_stan_fit_impl( formula, data, chains = 4, iter = 2000, warmup = 1000, ... )
formula |
A dataframe of xreg (exogenous regressors) |
data |
A numeric vector of values to fit |
chains |
An integer of the number of Markov Chains chains to be run, by default 4 chains are run. |
iter |
An integer of total iterations per chain including the warm-up, by default the number of iterations are 2000. |
warmup |
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 |
A modeltime model
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