Plot calibration bias for \(\hat q_0\) and \(\hat q_1\)

Usage

plot_q_bias(
  data,
  facet_formula,
  title = "Calibration Estimate Bias",
  subtitle = "",
  linetype_var = NULL,
  use_aggregate = FALSE,
  x_breaks = NULL,
  point_size = 1.5
)

Arguments

data: A data frame containing calibration summary statistics, typically with columns theta_true, bias, metric (e.g. "q0" or "q1"), and any faceting variables.
facet_formula: A faceting formula (e.g. q0_lab ~ q1_lab or q_val_lab ~ label_ratio_lab) specifying how panels are arranged.
title: Plot title.
subtitle: Plot subtitle.
linetype_var: Optional name of a column in data that controls line type. If NULL, all lines are solid.
use_aggregate: Logical; whether to use a larger theme suitable for aggregate plots with many legend entries.
x_breaks: Optional numeric vector of breaks for the x-axis (in theta_true space).
point_size: Point size for the scatter overlay.

Value

A ggplot object showing calibration bias for \(\hat q_0\) and \(\hat q_1\).