Specify a Double Seasonal Holt-Winters model for use with
fabletools::model().
Arguments
- formula
A model formula specifying the response variable, for example
value.- ...
Further arguments passed to
forecast::dshw(), includingperiods.
Value
A model definition that can be used inside fabletools::model().
Details
DSHW() is a model specification wrapper around
forecast::dshw() for the fable, tsibble, and
fabletools ecosystem.
The model is useful for time series with two important seasonal patterns, such as hourly data with daily and weekly seasonality.
The seasonal periods must be supplied through the periods argument.
See also
Other DSHW:
fitted.DSHW(),
forecast.DSHW(),
model_sum.DSHW(),
residuals.DSHW()
Examples
# \donttest{
library(dplyr)
library(tsibble)
library(fabletools)
train_frame <- elec_load |>
filter(bidding_zone == "DE") |>
slice_head(n = 24 * 28) |>
as_tsibble(index = time)
model_frame <- train_frame |>
model("DSHW" = DSHW(value, periods = c(24, 168)))
#> Warning: 1 error encountered for DSHW
#> [1] DSHW does not support missing values.
model_frame
#> # A mable: 1 x 1
#> DSHW
#> <model>
#> 1 <NULL model>
# }
