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Benchmark models

Source: R/models.R
model_mean.Rd

The yardsticks every other model must beat.

Usage

model_mean()

model_naive()

model_drift()

model_seasonal_naive(growth = FALSE)

Arguments

growth

Scale by the growth of the last cycle.

Value

A model specification, to use with fit_model(), forecast_model() or backtest().

Details

  • model_mean(): the mean of the history.

  • model_naive(): the last value (random walk).

  • model_drift(): the last value plus the average change (random walk with drift).

  • model_seasonal_naive(): the same season of the last cycle; with growth = TRUE, scaled by the growth of the last cycle over the one before.

See also

Other models: model_arima(), model_auto_arima(), model_box_cox(), model_croston(), model_decomposed(), model_ensemble(), model_ets(), model_holt_winters(), model_log_linear(), model_prophet(), model_tbats(), model_theta()

Examples

forecast_model(model_seasonal_naive(), AirPassengers, h = 3)
#>      Jan Feb Mar
#> 1961 417 391 419