exp_smoothing_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

exp_smoothing_stan_fit_impl(
  x,
  y,
  seasonality = 1,
  seasonality2 = 1,
  seasonality.type = "multiplicative",
  error.size.method = "std",
  level.method = "HW",
  ...
)

Arguments

x	A dataframe of xreg (exogenous regressors)
y	A numeric vector of values to fit
seasonality	Seasonality
seasonality2	Second seasonality
seasonality.type	Either "multiplicative" (default) or "generalized". The latter seasonality generalizes additive and multiplicative seasonality types.
error.size.method	Either "std" (monotonically, but slower than proportionally, growing with the series values) or "innov" (proportional to a smoothed abs size of innovations, i.e. surprises)
level.method	"HW", "seasAvg", "HW_sAvg"
...	Additional arguments passed to forecast::Arima

Value

A modeltime model

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