fitted.DLM {BayesMortalityPlus} | R Documentation |
DLM: Fitted death probabilities (qx)
Description
This function computes the point estimations of the death probabilities (qx) of a mortality graduation returned by dlm() or dlm_close() functions.
Usage
## S3 method for class 'DLM'
fitted(object, age = NULL, prob = 0.95, ...)
Arguments
object |
Object of the following classes: |
age |
Vector with the ages to calculate the death probabilities (Optional). By default, all ages are considered. |
prob |
Coverage probability of the predictive intervals. |
... |
Other arguments. |
Value
A data.frame object with the selected ages and the corresponding estimates and predictive intervals of the death probabilities.
See Also
fitted.HP()
and fitted.BLC()
for HP
or BLC
methods.
Examples
## Importing mortality data from the USA available on the Human Mortality Database (HMD):
data(USA)
## Selecting the log mortality rate of the year 2000, ranging from 0 to 100 years old:
USA2000 = USA[USA$Year == 2000,]
x = 0:100
Ex = USA2000$Ex.Total[x+1]
Dx = USA2000$Dx.Total[x+1]
y = log(Dx/Ex)
## Fitting dlm
fit = dlm(y, M = 100)
## Estimating the death probabilities (qx)
fitted(fit)
[Package BayesMortalityPlus version 0.2.4 Index]