summary.HP {BayesMortalityPlus} | R Documentation |
HP: Summary
Description
Summarizes information from the parameters' markov chains of a fitted HP
or ClosedHP
model.
Usage
## S3 method for class 'HP'
summary(object, ...)
Arguments
object |
A |
... |
Further arguments passed to or from other methods. |
Value
A data.frame object with the mean, standard deviation and 2.5%, 50% and 97.5% quantiles of a fitted HP
or ClosedHP
model.
See Also
summary.DLM()
for DLM
method.
Examples
## Importing mortality data from the USA available on the Human Mortality Database (HMD):
data(USA)
## Selecting the exposure and death count of the 2010 male population ranging from 0 to 90 years old
USA2010 = USA[USA$Year == 2010,]
x = 0:90
Ex = USA2010$Ex.Male[x+1]
Dx = USA2010$Dx.Male[x+1]
## Fitting binomial model
fit = hp(x = x, Ex = Ex, Dx = Dx, M = 5000, bn = 0, thin = 10)
summary(fit)
[Package BayesMortalityPlus version 0.2.4 Index]