plot_evpi: Plot Expected Value of Perfect Information (EVPI)

In giulianonetto/bayesdca: Bayesian Decision Curve Analysis

Plot Expected Value of Perfect Information (EVPI)

Description

Plot Expected Value of Perfect Information (EVPI)

Usage

plot_evpi(
  obj,
  strategies = NULL,
  type = c("best", "useful", "pairwise"),
  colors = NULL,
  labels = NULL,
  linewidth = 1.5,
  data_only = FALSE
)

Arguments

obj	BayesDCA or BayesDCASurv object
strategies	Character vector with models or tests to plot. If null, compares either first two in obj$strategies or the first one against Treat all/none (if only one available).
type	One of "best", "useful", or "pairwise".
colors	Named vector with color for each model or test. If provided for a subset of models or tests, only that subset will be plotted.
labels	Named vector with label for each model or test.
linewidth	Width of plotted lines.
data_only	If TRUE, returns data.frame used for ggplot2 plot with EVPI data

giulianonetto/bayesdca documentation built on Aug. 31, 2023, 11:07 a.m.