MortalitySmooth (version 2.3.4)

summary.Mort1Dsmooth: Summary for Mort1Dsmooth objects

Description

Summarizes the Poisson P-spline model fitted to a unidimensional data. It returns various settings and measures.

Usage

"summary"(object, ...)

Arguments

object

an object of class "Mort1Dsmooth", usually, a result of a call to Mort1Dsmooth.

...

further arguments passed to or from other methods.

Value

It produces an object of class summary.Mort1Dsmooth which contains exactly the same components of the associated Mort1Dsmooth object.

Details

print.summary.Mort1Dsmooth tries to be smart about formatting settings, outcomes, etc. After the matched call, the function presents several outcomes of the model, such as AIC, BIC, effective dimension, selected smoothing parameter, overdispersion parameter and a summary of the deviance residuals. The last lines show specifications and control parameters of the fitted model.

See Also

Mort1Dsmooth.

Examples

## selected data
years <- 1970:2006
death <- selectHMDdata("Sweden", "Deaths", "Females",
                       ages = 0, years = years)
exposure <- selectHMDdata("Sweden", "Exposures", "Females",
                          ages = 0, years = years)
## fit
fit <- Mort1Dsmooth(x=years, y=death, offset=log(exposure),
                    method=3, lambda=30)
## summary
summary(fit)