featherForecasts: Multiple Horizon-Step Ahead Forecasts

In dse: Dynamic Systems Estimation (Time Series Package)

Description

Calculate multiple horizon-step ahead forecasts.

Usage

    featherForecasts(obj, ...)
    ## S3 method for class 'TSestModel'
featherForecasts(obj, data=NULL, ...)
    ## S3 method for class 'TSdata'
featherForecasts(obj, model, ...)
    ## S3 method for class 'TSmodel'
featherForecasts(obj, data, horizon=36,
             from.periods =NULL, ...)
    is.featherForecasts(obj)

Arguments

obj	an object of class TSmodel.
data	an object of class TSdata.
model	an object of class TSmodel.
from.periods	the starting points to use for forecasts.
horizon	the number of periods to forecast.
...	for a TSmodel additional arguments are passed to l()

Details

Calculate multiple horizon-step ahead forecasts ie. use the samples indicated by from.periods to calculate forecasts for horizon periods. Thus, for example, the result of featherForecasts(model, data, from.periods=c(200,250,300)) would be forecasts for 1 through 36 steps ahead (the default), starting at the 200th,250th, and 300th point of outputData(data). This function assumes that inputData(data) (the exogenous variable) is as long as necessary for the most future forecast.

Value

The result is a list of class featherForecasts with elements model (a TSestModel), data, from.periods, featherForecasts. The element featherForecasts is a list with length(from.periods) elements, each of which is a tframed matrix. There is a plot method for this class.

See Also

forecast, horizonForecasts

Examples

data("egJofF.1dec93.data", package="dse")
model <- estVARXls(egJofF.1dec93.data)
pr <- featherForecasts(model, egJofF.1dec93.data)
tfplot(pr)

dse documentation built on March 4, 2020, 3:01 a.m.