summary.Mort2Dsmooth: Summary for Mort2Dsmooth objects

Description

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

Usage

"summary"(object, ...)

Arguments

object

an object of class "Mort2Dsmooth", usually, a result of a call to Mort2Dsmooth.

...

further arguments passed to or from other methods.

Value

It produces an object of class summary.Mort2Dsmooth which contains exactly the same components of the associated Mort2Dsmooth object.

Details

print.summary.Mort2Dsmooth 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 parameters, overdispersion parameter and a summary of the deviance residuals. The last lines show specifications and control parameters of the fitted model on both axes.

Examples

Run this code

## selected data
ages <- 10:60
years <- 1950:2006
death <- selectHMDdata("Sweden", "Deaths", "Males",
                       ages = ages, years = years) 
exposure <- selectHMDdata("Sweden", "Exposures", "Males",
                          ages = ages, years = years)
## fit
fit <- Mort2Dsmooth(x=ages, y=years, Z=death,
                    offset=log(exposure),
                    method=3, lambdas=c(0.1, 1000))
## summary
summary(fit)