summary.DLM {BayesMortalityPlus}

R Documentation

DLM: Summary

Description

Summarizes information from the parameters' markov chains of a fitted DLM or ClosedDLM model.

Usage

## S3 method for class 'DLM'
summary(object, digits = 5, ...)

Arguments

object	A DLM or ClosedDLM object, result of a call to dlm() or dlm_close() function.
digits	An integer indicating the number of decimals places.
...	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 DLM or ClosedDLM model.

See Also

summary.HP() for HP method.

Examples

## Importing mortality data from the USA available on the Human Mortality Database (HMD):
data(USA)

## Selecting the log mortality rate of the 2010 male population ranging from 0 to 100 years old
USA2010 = USA[USA$Year == 2010,]
x = 0:100
Ex = USA2010$Ex.Male[x+1]
Dx = USA2010$Dx.Male[x+1]
y = log(Dx/Ex)

## Fitting DLM
fit = dlm(y, M = 100, bn = 20, thin = 1)
summary(fit)

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