dLagM (version 0.0.8)

ardlDlmForecast: Compute forecasts for autoregressive distributed lag models

Description

A function that computes forecasts for autoregressive distributed lag model with one predictor.

Usage

ardlDlmForecast(model , x , h = 1)

Arguments

model

An object of class lm including the fitted model with ardl.dlm() function.

x

A vector including the new observations of independent time series. This is not restricted to ts objects.

h

The number of ahead forecasts.

Value

forecasts

A vector including forecasts.

Details

This function directly uses the model formula and estimates of model coefficients to find forecast one-by-one starting from the one-step ahead forecast.

Examples

# NOT RUN {
data(warming)
model.ardl = ardlDlm(x = warming$NoMotorVehicles, 
y = warming$Warming, p = 1 , q = 1 , show.summary = TRUE)
ardlDlmForecast(model = model.ardl , x = c(95, 98) , h = 2)
# }