Plot the hazard model fitted and forecasted parameters

This function allows to define the behavior of the triangle payments.

Usage

# S3 method for class 'clmpluspredictions'
plot(x, cy.type = "fe", ...)

Arguments

x

A `clmpluspredictions` object returned by [predict.clmplusmodel()].

cy.type

Either `"fe"` (the default) to include extrapolated calendar effects or `"f"` to show only fitted calendar effects.

...

Reserved; currently ignored.

Value

A `gtable` containing one ggplot panel for each effect included in the fitted model. The table is returned visibly after being drawn.

References

Pittarello, G., Hiabu, M., & Villegas, A. M. (2023). Replicating and extending chain-ladder via an age-period-cohort structure on the claim development in a run-off triangle. arXiv preprint arXiv:2301.03858.

Examples

data(sifa.mtpl)
sifa.mtpl.rtt <- AggregateDataPP(cumulative.payments.triangle=sifa.mtpl)
clm.fit<-clmplus(sifa.mtpl.rtt, 'a')
#> Warning: StMoMo: 66 missing values which have been zero weighted
clm <- predict(clm.fit)
plot(clm)