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modeltime (version 0.4.0)

ets_fit_impl: Low-Level Exponential Smoothing function for translating modeltime to forecast

Description

Low-Level Exponential Smoothing function for translating modeltime to forecast

Usage

ets_fit_impl(
  x,
  y,
  period = "auto",
  error = "auto",
  trend = "auto",
  season = "auto",
  damping = "auto",
  ...
)

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".

...

Additional arguments passed to forecast::ets