predict.HyndmanUllah: Forecast age-specific death rates using the Hyndman-Ullah...

In mpascariu/MortalityForecast: Standard Tools to Compare and Evaluate Various Mortality Forecasting Methods

Description

Forecast age-specific death rates using the Hyndman-Ullah mortality model

Usage

## S3 method for class 'HyndmanUllah'
predict(object, h, level = 95,
  jumpchoice = c("actual", "fit"), verbose = TRUE, ...)

Arguments

object	An object of class HyndmanUllah.
h	Number of years to be forecast in the future.
level	Significance level of the confidence interval.
jumpchoice	Method used for computation of jumpchoice. Possibilities: "actual" (use actual rates from final year) and "fit" (use fitted rates).
verbose	A logical value. Set verbose = FALSE to silent the process that take place inside the function and avoid progress messages.
...	Additional arguments to be passed to Arima

Details

\insertNoCite

hyndman2007MortalityForecast

Value

The output is a list with the components:

call	An unevaluated function call, that is, an unevaluated expression which consists of the named function applied to the given arguments;
info	Short details about the model;
kt	The extrapolated values of the kt parameters;
kt.arima	An object of class ARIMA that contains all the components of the fitted time series model used in kt prediction;
predicted.values	A list containing the predicted values given by the estimated model over the forecast horizon h;
conf.intervals	Confidence intervals for the predicted values;
x	Vector of ages used in prediction;
y	Vector of years used in prediction.

Author(s)

Marius D. Pascariu and Marie-Pier Bergeron-Boucher

References

\insertAllCited

See Also

model.HyndmanUllah

Examples

# For examples go to ?model.HyndmanUllah

mpascariu/MortalityForecast documentation built on Sept. 28, 2020, 2:40 p.m.