Summarizes the Poisson P-spline model fitted to a two-dimensional data. It returns various settings and measures.
an object of class "Mort2Dsmooth", usually, a result of
a call to
further arguments passed to or from other methods.
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.
It produces an object of class
contains exactly the same components of the associated
Carlo G Camarda
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## 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)
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