fit_truncated_dist: Deprecated alias for `fit_truncated_severity()`

Description

fit_truncated_dist() is deprecated as of version 0.9.0. Use fit_truncated_severity() instead.

Usage

fit_truncated_dist(
  losses = NULL,
  distribution = c("gamma", "lognormal"),
  lower_truncation = NULL,
  upper_truncation = NULL,
  start_values = NULL,
  print_initial = TRUE,
  n_variants = 1,
  n_shape_grid = 8,
  n_scale_grid = 8,
  show_progress = FALSE,
  show_summary = TRUE,
  y = NULL,
  dist = NULL,
  left = NULL,
  right = NULL,
  start = NULL,
  trace = NULL,
  report = NULL
)

Value

See fit_truncated_severity().

Arguments

losses: Numeric vector with observed claim severities.
distribution: Severity distribution to fit: "gamma" or "lognormal".
lower_truncation: Numeric lower truncation point. Claims at or below this value are assumed not to be present in losses. Defaults to 0.
upper_truncation: Numeric upper truncation point. Claims at or above this value are assumed not to be present in losses. Defaults to Inf.
start_values: Optional named list of starting values. If NULL, a multi-start strategy is used. For a gamma distribution use shape and scale; for a lognormal distribution use meanlog and sdlog.
print_initial: Deprecated logical retained for backward compatibility.
n_variants: Controls how many local variations around base starts are used.
n_shape_grid: Number of grid points for gamma shape.
n_scale_grid: Number of grid points for gamma scale.
show_progress: Logical. If TRUE, prints periodic progress during the fitting loop.
show_summary: Logical. If TRUE, prints a short summary at the end.
y, dist, left, right, start, trace, report: Deprecated argument names kept for backward compatibility.