train_tbats: TBATS model

In ahaeusser/tscv: Functions and utilities for tidy time series forecasting and time series cross-validation

TBATS model

Description

Train a TBATS model (Trigonometric seasonality, Box-Cox transformation, ARMA errors, Trend and Seasonal components).

Usage

train_tbats(.data, specials, periods, ...)

Arguments

.data	Input data as tsibble.
specials	Specials as list defined in specials_tbats.
periods	Integer vector. The periodicity of the time series (e.g. periods = c(24, 168) for hourly data).
...	Further arguments passed to forecast::tbats().

Value

An object of class TBATS.

ahaeusser/tscv documentation built on July 26, 2023, 3:18 p.m.