Description Usage Arguments Value Examples
View source: R/model_OeppenC.R
Forecast the age-at-death distribution using the Coherent Oeppen model
1 2 3 4 5 6 |
object |
An object of class |
h |
Number of years to be forecast in the future. |
order.B |
The ARIMA order for the benchmark population model. This is
A specification of the non-seasonal part of the ARIMA model: the three
components (p, d, q) are the AR order, the degree of differencing, and
the MA order. If |
include.drift.B |
Logical. Should we include a linear drift term in the ARIMA of benchmark population model? |
order.D |
The ARIMA order driving the deviation from the benchmark
population model. If |
include.drift.D |
Logical. Should we include a linear drift term in the ARIMA driving the deviation from the benchmark? |
level |
Significance level of the confidence interval. |
jumpchoice |
Method used for computation of jumpchoice.
Possibilities: |
method |
ARIMA fitting method: maximum likelihood or minimize
conditional sum-of-squares. Options to use: conditional-sum-of-squares
( |
verbose |
A logical value. Set |
... |
Additional arguments to be passed to |
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; |
predicted.values |
A list containing the predicted values together
with the associated prediction intervals given by the estimated
model over the forecast horizon |
conf.intervals |
Confidence intervals for the extrapolated |
kt.arima |
An object of class |
kt |
The extrapolated |
x |
Vector of ages used in prediction; |
y |
Vector of years used in prediction; |
info |
Short details about the model; |
benchmark |
An object containing the predicted results for the benchmark population. |
1 | # For examples go to ?model.OeppenC
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