Description Usage Arguments Details Value See Also Examples
Calculate forecasts at specified horizons.
1 2 3 4 5 6 7 8 9 10 11 12 | is.horizonForecasts(obj)
horizonForecasts(obj, ...)
## S3 method for class 'TSmodel'
horizonForecasts(obj, data, horizons=1:4,
discard.before=minimumStartupLag(obj), compiled=.DSEflags()$COMPILED, ...)
## S3 method for class 'TSestModel'
horizonForecasts(obj, data=NULL, ...)
## S3 method for class 'TSdata'
horizonForecasts(obj, model, ...)
## S3 method for class 'forecastCov'
horizonForecasts(obj,horizons=NULL,
discard.before=NULL, ...)
|
obj |
an object of class TSmodel, TSdata, or TSestModel. |
model |
an object of class TSmodel. |
data |
an object of class TSdata |
horizons |
a vector of integers indicating the horizon at which forecasts should be produced. |
discard.before |
period before which forecasts are not calculated. |
compiled |
if TRUE compiled code is called. |
... |
arguments passed to other methods. |
Calculate multiple 'horizon'-step ahead forecasts ie. calculate forecasts but return only those indicated by horizons. Thus, for example, the result of horizonForecasts(model, data horizons=c(1,5)) would be the one-step ahead and five step ahead forecasts.
The result is a list of class horizonForecasts with elements model (a
TSmodel), data, horizons, discard.before, and horizonForecasts.
horizonForecasts is an array with three dimension:
c(length(horizons), dim(model$data))
.
Projections are not calculated before discard.before or after
the end of outputData(data).
Each horizon is aligned so that horizonForecasts[h,t,] contains the forecast
for the data point outputData(data)[t,] (from horizon[h] periods prior).
1 2 3 | data("eg1.DSE.data.diff", package="dse")
model <- estVARXls(eg1.DSE.data.diff)
z <- horizonForecasts(model, eg1.DSE.data.diff)
|
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