summary.Mort2Dsmooth {MortalitySmooth} | R Documentation |
Summarizes the Poisson P-spline model fitted to a two-dimensional data. It returns various settings and measures.
## S3 method for class 'Mort2Dsmooth': summary(object, ...)
object |
An object of class "Mort2Dsmooth", usually, a result of
a call to Mort2Dsmooth . |
... |
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 produce an object of class summary.Mort2Dsmooth
which
contains exactly the same components of the associated
Mort2Dsmooth
object.
Carlo G Camarda
# 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)