tbats_fit_impl: Low-Level tbats function for translating modeltime to...

In modeltime: The Tidymodels Extension for Time Series Modeling

Low-Level tbats function for translating modeltime to forecast

Description

Low-Level tbats function for translating modeltime to forecast

Usage

tbats_fit_impl(
  x,
  y,
  period_1 = "auto",
  period_2 = NULL,
  period_3 = NULL,
  use.parallel = length(y) > 1000,
  ...
)

Arguments

x	A dataframe of xreg (exogenous regressors)
y	A numeric vector of values to fit
period_1	(required) First seasonal frequency. Uses "auto" by default. A character phrase of "auto" or time-based phrase of "2 weeks" can be used if a date or date-time variable is provided.
period_2	(optional) First seasonal frequency. Uses "auto" by default. A character phrase of "auto" or time-based phrase of "2 weeks" can be used if a date or date-time variable is provided.
period_3	(optional) First seasonal frequency. Uses "auto" by default. A character phrase of "auto" or time-based phrase of "2 weeks" can be used if a date or date-time variable is provided.
use.parallel	TRUE/FALSE indicates whether or not to use parallel processing.
...	Additional arguments passed to forecast::tbats()

modeltime documentation built on Sept. 2, 2023, 5:06 p.m.