predict.RenshawHaberman: Forecast age-specific death rates using the Renshaw-Haberman...

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

Description

Forecast age-specific death rates using the Renshaw-Haberman model

Usage

## S3 method for class 'RenshawHaberman'
predict(object, h, order = c(2, 1, 0),
  include.drift = TRUE, level = c(80, 95), jumpchoice = c("actual",
  "fit"), verbose = TRUE, ...)

Arguments

object	An object of class RenshawHaberman.
h	Number of years to be forecast in the future.
order	A specification of the ARIMA model for the cohort effect: the three components (p, d, q) are the AR order, the degree of differencing, and the MA. Default: c(1, 1, 0).
include.drift	a logical value indicating if the ARIMA model should include a constant value. Default: TRUE.
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.
...	Other arguments to be passed on to forecast.fitStMoMo

Details

\insertNoCite

renshaw2006MortalityForecast

References

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See Also

model.RenshawHaberman

Examples

# For examples go to ?model.RenshawHaberman

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