ets_fit_impl: Low-Level Exponential Smoothing function for translating...

Description Usage Arguments

View source: R/parsnip-exp_smoothing.R

Description

Low-Level Exponential Smoothing function for translating modeltime to forecast

Usage

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ets_fit_impl(
  x,
  y,
  period = "auto",
  error = "auto",
  trend = "auto",
  season = "auto",
  damping = "auto",
  alpha = NULL,
  beta = NULL,
  gamma = NULL,
  ...
)

Arguments

x

A dataframe of xreg (exogenous regressors)

y

A numeric vector of values to fit

period

A 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.

error

The form of the error term: "auto", "additive", or "multiplicative". If the error is multiplicative, the data must be non-negative.

trend

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

season

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

damping

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

alpha

Value of alpha. If NULL, it is estimated.

beta

Value of beta. If NULL, it is estimated.

gamma

Value of gamma. If NULL, it is estimated.

...

Additional arguments passed to forecast::ets


modeltime documentation built on July 16, 2021, 9:08 a.m.