forecast.bridge: Forecasting from a 'bridge' object

In bridgr: Bridging Data Frequencies for Timely Economic Forecasts

Forecasting from a bridge object

Description

This function is used to forecast the target variable using the fitted bridge model.

Usage

## S3 method for class 'bridge'
forecast(object, xreg = NULL, ...)

Arguments

object	A bridge object obtained from bridge().
xreg	A tsbox::ts_boxable() series of external regressors. If not supplied by the user, the forecast set calculated by bridge() will be used. This is useful for made up scenarios.
...	Additional arguments to be passed to the forecast function. Ignored at the moment.

Value

An object of class "forecast". An object of class "forecast" is a list usually containing at least the following elements:

model	A list containing information about the fitted model
method	The name of the forecasting method as a character string
mean	Point forecasts as a time series
lower	Lower limits for prediction intervals
upper	Upper limits for prediction intervals
level	The confidence values associated with the prediction intervals
x	The original time series (either object itself or the time series used to create the model stored as object).
residuals	Residuals from the fitted model. For models with additive errors, the residuals will be x minus the fitted values.
fitted	Fitted values (one-step forecasts)
forecast_set	The forecast set with the forecasted indicator variables used to calculate the forecast of the target variable.

Examples

library(bridgr)

# Example usage
target_series <- suppressMessages(tsbox::ts_tbl(data.frame(
  time = seq(as.Date("2020-01-01"), as.Date("2022-12-01"), by = "quarter"),
  value = rnorm(12)
)))

indic_series <- suppressMessages(tsbox::ts_tbl(data.frame(
  time = seq(as.Date("2020-01-01"), as.Date("2023-01-01"), by = "month"),
  value = rnorm(37)
)))

bridge_model <- suppressMessages(bridge(
  target = target_series,
  indic = indic_series,
  indic_predict = "mean",
  indic_aggregators = "mean",
  indic_lags = 2,
  target_lags = 1,
  h = 1
))

# Forecasting using the bridge model
fcst <- forecast(bridge_model)

bridgr documentation built on April 3, 2025, 9:22 p.m.