tipmap_plot: Visualize tipping point analysis

In tipmap: Tipping Point Analysis for Bayesian Dynamic Borrowing

Visualize tipping point analysis

Description

Uses a data frame created by create_tipmap_data() to visualize the tipping point analysis.

Usage

tipmap_plot(
  tipmap_data,
  target_pop_lab = "Trial in target\n population",
  y_range = NULL,
  y_breaks = NULL,
  title = NULL,
  y_lab = "Mean difference",
  x_lab = "Weight on informative component of MAP prior",
  map_prior_lab = "MAP\nprior",
  meta_analysis_lab = "MA",
  legend_title = "Posterior quantile",
  null_effect = 0
)

Arguments

tipmap_data	A data frame containing tipping point data, generated by create_tipmap_data().
target_pop_lab	A label for the trial in the target population.
y_range	An optional argument specifying range of the y-axis.
y_breaks	An optional vector specifying breaks on the y-axis.
title	The plot title.
y_lab	The label for the y axis. Defaults to "Mean difference".
x_lab	The label for the x axis. Defaults to "Weight on informative component of MAP prior".
map_prior_lab	The label for the MAP prior. Defaults to "MAP prior"
meta_analysis_lab	An optional label for a meta-analysis (if included).
legend_title	An optional title for the plot legend. Defaults to "Posterior quantiles".
null_effect	The null treatment effect, determining where tipping points are calculated. Defaults to 0.

Value

A ggplot object of the tipping point plot

See Also

create_tipmap_data

Examples

tipmap_data <- load_tipmap_data("tipdat.rds")
tipmap_plot(tipmap_data)

tipmap documentation built on Aug. 14, 2023, 5:09 p.m.