Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

exp_smoothing_params

Tuning Parameters for Exponential Smoothing Models


Description

Tuning Parameters for Exponential Smoothing Models

Usage

error(values = c("additive", "multiplicative"))

trend(values = c("additive", "multiplicative", "none"))

season(values = c("additive", "multiplicative", "none"))

damping(values = c("damped", "none"))

Arguments

values

A character string of possible values.

Details

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.

  • trend: The form of the trend term: "additive", "multiplicative" or "none".

  • season: The form of the seasonal term: "additive", "multiplicative" or "none"..

  • damping: Apply damping to a trend: "damped", or "none".

Examples

error()

trend()

season()

modeltime

The Tidymodels Extension for Time Series Modeling

v0.5.1
MIT + file LICENSE
Authors
Matt Dancho [aut, cre], Business Science [cph]
Initial release

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.