summary.Mort2Dsmooth: Summary for Mort2Dsmooth objects

In MortalitySmooth: Smoothing and Forecasting Poisson Counts with P-Splines

Description

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

Usage

## S3 method for class 'Mort2Dsmooth'
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.

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.

Value

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

Author(s)

Carlo G Camarda

See Also

Mort2Dsmooth.

Examples

## 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)

MortalitySmooth documentation built on May 2, 2019, 6:07 a.m.