forecast.ATA {fable.ata} | R Documentation |
Forecast a model from the fable ATA model
Description
Forecast a model from the fable ATA model
Usage
## S3 method for class 'ATA'
forecast(
object,
new_data,
h = NULL,
ci_level = 95,
negative_forecast = TRUE,
onestep = FALSE,
...
)
Arguments
object |
The time series model used to produce the forecasts |
new_data |
A 'tsibble' containing future information used to forecast. |
h |
The forecast horison (can be used instead of 'new_data' for regular time series with no exogenous regressors). |
ci_level |
Confidence Interval levels for forecasting. Default value is 95. |
negative_forecast |
Negative values are allowed for forecasting. Default value is TRUE. If FALSE, all negative values for forecasting are set to 0. |
onestep |
Default is FALSE. if TRUE, the dynamic forecast strategy uses a one-step model multiple times 'h' forecast horizon) where the prediction for the prior time step is used as an input for making a prediction on the following time step. |
... |
Other arguments |
Value
A vector of fitted residuals.
Examples
library(fable.ata)
as_tsibble(USAccDeaths) %>%
model(ata = AutoATA(value ~ trend("A") + season("M"))) %>% forecast(h=24)
[Package fable.ata version 0.0.6 Index]