update: Updating functional demographic models and coherent functional demographic models.

Description

update.fmforecast() updates fdm forecasts. The argument object is the output from forecast.fdm which has been subsequently modified with new coefficient forecasts. These new forecasts are used when re-calculating the forecast of the mortality or fertility rates, or net migration numbers. update.fmforecast2() updates fdmpr forecasts. The argument object is the output from forecast.fdmpr which has been subsequently modified with new coefficient forecasts.

Usage

# S3 method for fmforecast
update(object, ...)
# S3 method for fmforecast2
update(object, ...)

Value

A list of the same class as object.

Arguments

object: Output from either fdm or coherentfdm.
...: Extra arguments currently ignored.

Author

Rob J Hyndman.

Examples

Run this code

if (FALSE) {
france.fit <- fdm(fr.mort,order=2)
france.fcast <- forecast(france.fit,50)
# Replace first coefficient model with ARIMA(0,1,2)+drift
france.fcast$coeff[[2]] <- forecast(Arima(france.fit$coeff[,2],
                                          order=c(0,1,2), include.drift=TRUE), h=50, level=80)
france.fcast <- update(france.fcast)

fr.short <- extract.years(fr.sm,1950:2006)
fr.fit <- coherentfdm(fr.short)
fr.fcast <- forecast(fr.fit)
par(mfrow=c(1,2))
plot(fr.fcast$male)
# Replace first coefficient model in product component with a damped ETS model:
fr.fcast$product$coeff[[2]] <- forecast(ets(fr.fit$product$coeff[,2], damped=TRUE),
                                        h=50, level=80)
fr.fcast <- update(fr.fcast)
plot(fr.fcast$male)
}