Non-stationary confidence bands plot — plot_data_quantile

Plot the estimated conditional quantile, return level, or endpoint, with confidence bands for non-stationary models.

Usage

plot_data_quantile_ci(
  quantiles,
  q_down,
  q_up,
  time_index = seq_along(quantiles),
  x_label = "X",
  y_label = "Y",
  Y = NULL,
  event_index = NULL,
  obs_label = "Fitting obs.",
  event_label = "Event",
  legend.position = "bottom"
)

Arguments

quantiles: Vector of estimated quantiles, return levels, or endpoints.
q_down: Vector of lower confidence band values for quantiles.
q_up: Vector of upper confidence band values for quantiles.
time_index: Vector of time indices corresponding to the quantiles. Defaults to seq_along(quantiles).
x_label: Label for the x-axis. Defaults to "X".
y_label: Label for the y-axis. Defaults to "Y".
Y: (Optional) Vector of observations to add to the plot and compare to the quantiles.
event_index: (Optional) Index of an event (observation) to be highlighted.
obs_label: Label for the fitting observations. Defaults to "Fitting obs.".
event_label: (Optional) Label for the highlighted event observation. Defaults to "Event".
legend.position: Position of the legend to the side of the plot. Can be one of "bottom" (default), "right", "top", "left", or "none".

Value

A ggplot2::ggplot() object showing the estimated conditional quantile with confidence bands.