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Tuning Parameters for Exponential Smoothing Models
error(values = c("additive", "multiplicative"))trend(values = c("additive", "multiplicative", "none"))season(values = c("additive", "multiplicative", "none"))damping(values = c("damped", "none"))
trend(values = c("additive", "multiplicative", "none"))
season(values = c("additive", "multiplicative", "none"))
damping(values = c("damped", "none"))
A character string of possible values.
The main parameters for Exponential Smoothing models are:
error: The form of the error term: additive", or "multiplicative". If the error is multiplicative, the data must be non-negative.
error
trend: The form of the trend term: "additive", "multiplicative" or "none".
trend
season: The form of the seasonal term: "additive", "multiplicative" or "none"..
season
damping: Apply damping to a trend: "damped", or "none".
damping
# NOT RUN { error() trend() season() # }
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