gen_additive_stan_fit_impl: Low-Level ARIMA function for translating modeltime to...

In bayesmodels: The 'Tidymodels' Extension for Bayesian Models

Description

Low-Level ARIMA function for translating modeltime to forecast

Usage

gen_additive_stan_fit_impl(
  formula,
  data,
  chains = 4,
  iter = 2000,
  warmup = 1000,
  ...
)

Arguments

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 forecast::Arima

Value

A modeltime model

bayesmodels documentation built on June 29, 2021, 1:06 a.m.