Plot a fitted truncated severity distribution
Source:R/truncated_distributions.R
autoplot.truncated_severity.RdCreates a plot of the empirical cumulative distribution function (ECDF) of the observed truncated claim amounts together with the fitted truncated CDF.
Usage
# S3 method for class 'truncated_severity'
autoplot(
object,
ecdf_geom = c("point", "step"),
x_label = NULL,
y_label = NULL,
y_limits = c(0, 1),
x_limits = NULL,
show_title = TRUE,
digits = 2,
truncation_digits = 2,
geom_ecdf = NULL,
xlab = NULL,
ylab = NULL,
ylim = NULL,
xlim = NULL,
print_title = NULL,
print_dig = NULL,
print_trunc = NULL,
...
)Arguments
- object
An object produced by
fit_truncated_severity().- ecdf_geom
Character string indicating how to display the empirical CDF. Must be one of
"point"or"step".- x_label
Title of the x axis. Defaults to
"severity".- y_label
Title of the y axis. Defaults to
"cumulative proportion".- y_limits
Numeric vector of length 2 specifying y-axis limits.
- x_limits
Optional numeric vector of length 2 specifying x-axis limits.
- show_title
Logical. If
TRUE, print title and subtitle.- digits
Integer. Number of digits for parameter estimates in the subtitle.
- truncation_digits
Integer. Number of digits used for truncation bounds.
- geom_ecdf, xlab, ylab, ylim, xlim, print_title, print_dig, print_trunc
Deprecated argument names kept for backward compatibility.
- ...
Currently unused.
Details
The plot compares the empirical distribution of the observed, truncated claim severities with the fitted distribution conditional on the same truncation interval. This is a visual check of whether the selected severity distribution is plausible for the part of the portfolio that is actually observed.