compare_dca: Plot BayesDCA comparison

In giulianonetto/bayesdca: Bayesian Decision Curve Analysis

Plot BayesDCA comparison

Description

Plot BayesDCA comparison

Usage

compare_dca(
  obj,
  strategies = NULL,
  colors = NULL,
  labels = NULL,
  plot_list = FALSE,
  .evpi = FALSE,
  type = c("best", "useful", "pairwise"),
  linewidth = 1.5,
  ...
)

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).
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.
plot_list	If TRUE, returns a list of separate ggplot objects.
.evpi	If TRUE, adds validation EVPI to plots – see Sadatsafavi et al. (2020)(see https://arxiv.org/abs/2208.03343).
type	One of "best", "useful", or "pairwise".
linewidth	Width of plotted lines.

Value

A patchwork/ggplot object or a list of ggplot objects.

Examples

data(PredModelData)
fit <- dca(PredModelData)
compare_dca(fit)

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