Forecast coherent functional demographic model.
The product and ratio models from coherentfdm are forecast, and
the results combined to give forecasts for each group in the original data.
## S3 method for class 'fdmpr' forecast(object, h = 50, level = 80, K = 100, drange = c(0, 0.5), ...)
object |
Output from |
h |
Forecast horizon. |
level |
Confidence level for prediction intervals. |
K |
Maximum number of years to use in forecasting coefficients for ratio components. |
drange |
Range of fractional differencing parameter for the ratio coefficients. |
... |
Other arguments as for |
Object of class fmforecast2 containing a list of objects each
of class fmforecast. The forecasts for each group in the original
data are given first. Then the forecasts from the product model, and
finally a list of forecasts from each of the ratio models.
Rob J Hyndman
fr.short <- extract.years(fr.sm,1950:2006) fr.fit <- coherentfdm(fr.short) fr.fcast <- forecast(fr.fit) plot(fr.fcast$male) plot(fr.fcast$ratio$male, plot.type='component', components=3) models(fr.fcast)
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