expectancy.HP {BayesMortalityPlus} | R Documentation |
This function computes the life expectancy for each age for Heligman-Pollard model.
## S3 method for class 'HP'
expectancy(
x,
Ex = NULL,
age = NULL,
graph = TRUE,
max_age = 110,
prob = 0.95,
...
)
x |
Object of the class |
Ex |
Numeric vector with the exposure by age. This argument is only necessary when using poisson and binomial models with objects of the class |
age |
Numeric vector specifying the ages to calculate the life expectancy. The default is a sequence (0, 10, 20, ...) until the last decade used in the fitted model. |
graph |
Logical value (TRUE ou FALSE). If TRUE, it returns a plot. |
max_age |
Positive number indicating the last age to be considered to compute the life expectancy (extrapolation will be considered to match the age interval if needed). This argument is only necessary with objects of the class |
prob |
A percentage specifying the probability of credible interval. |
... |
Further arguments passed to or from other methods. |
A data.frame and (if graph = TRUE) a plot.
expectancy.DLM()
and expectancy.BLC()
for DLM
and BLC
methods.
Heatmap.HP()
and Heatmap.list()
for HP
or list
methods to drawing a Heatmap for the truncated life expectancy.
## Importing mortality data from the USA available on the Human Mortality Database (HMD):
data(USA)
# Example 1: --------------------------------
USA1990 = USA[USA$Year == 1990,]
Ex = USA1990$Ex.Total[1:91]
Dx = USA1990$Dx.Total[1:91]
x = 0:90
fit <- hp(x, Ex, Dx, model = "binomial", M = 1000, bn = 0, thin = 10)
expectancy(fit)
# Example 2: -------------------------------
# Using some arguments:
Ex = USA1990$Ex.Total[1:106]
expectancy(fit, Ex = Ex, age = c(0,20,30,60,105),
max_age = 105, prob = 0.99, graph = FALSE)