Projection plot for a projection-level fit — .plot_projection

Role-agnostic projection plot: observed and projected cumulative values by cohort over development periods, with an optional confidence band. The plotted column family is taken from x$loss (the fit's standardized role – "loss" for CL / SA / BF / CC, "premium" for an PremiumFit), so every projection-level fit shares one implementation. The interval is drawn whenever the <role>_total_se column is present and finite.

Usage

.plot_projection_fit(
  x,
  conf_level = 0.95,
  show_interval = TRUE,
  amount_divisor = "auto",
  scales = c("fixed", "free_y", "free_x", "free"),
  theme = c("view", "save", "shiny"),
  nrow = NULL,
  ncol = NULL,
  ...
)

Arguments

x: A projection-level fit (CLFit, SAFit, BFFit, CCFit, or PremiumFit) with a $full grid and $loss / $groups / $cohort / $dev slots.
conf_level: Confidence level for interval display. Default is 0.95.
show_interval: Logical; if TRUE, show normal-approximation confidence intervals. Default is TRUE.
amount_divisor: Numeric scaling factor for y-axis labels of amount variables. Default is 1e8.
scales: Facet scale argument passed to ggplot2::facet_wrap(). One of "fixed", "free", "free_x", or "free_y".
theme: A string passed to .switch_theme().
nrow, ncol: Number of rows and columns for ggplot2::facet_wrap().
...: Additional arguments passed to .switch_theme().

Value

A ggplot object.