TBATS: Automatic train a TBATS model
In ahaeusser/tscv: Functions and utilities for tidy time series forecasting and time series cross-validation
TBATS R Documentation
Automatic train a TBATS model
Description
Automatic train a TBATS model (Trigonometric seasonality, Box-Cox transformation,
ARMA errors, Trend and Seasonal components). This function is a wrapper for forecast::tbats().
Usage
TBATS(formula, ...)
Arguments
formula
Model specification (see "Specials" section, currently not in use ...)
...
Further arguments passed to forecast::tbats().
Value
tbats_model An object of class TBATS.
ahaeusser/tscv documentation built on July 26, 2023, 3:18 p.m.
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| TBATS | R Documentation |
Automatic train a TBATS model
Description
Automatic train a TBATS model (Trigonometric seasonality, Box-Cox transformation,
ARMA errors, Trend and Seasonal components). This function is a wrapper for forecast::tbats().
Usage
TBATS(formula, ...)
Arguments
formula |
Model specification (see "Specials" section, currently not in use ...) |
... |
Further arguments passed to |
Value
tbats_model An object of class TBATS.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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