plot.cdmeta: Plot the predictive distribution from a cdmeta object

In cdmeta: Confidence-Distribution-Based Inference for Random-Effects Meta-Analysis

Plot the predictive distribution from a cdmeta object

Description

Displays the Monte Carlo predictive distribution of the true effect in a future study and, optionally, its prediction interval.

Usage

## S3 method for class 'cdmeta'
plot(
  x,
  show_interval = TRUE,
  breaks = 40,
  main = NULL,
  xlab = NULL,
  hist_col = "grey85",
  border_col = "white",
  density_lwd = 2,
  pi_col = "firebrick",
  pi_lwd = 3,
  rug = FALSE,
  transf = NULL,
  transf_name = NULL,
  qtype = 8,
  ...
)

Arguments

x	An object of class "cdmeta".
show_interval	A logical value indicating whether a separate prediction- interval panel is shown below the predictive distribution.
breaks	Number of histogram breaks or another value accepted by graphics::hist().
main	Optional main title.
xlab	Optional x-axis label.
hist_col	Fill color of histogram bars.
border_col	Border color of histogram bars.
density_lwd	Line width of the kernel density curve.
pi_col	Color used for prediction-interval and predictive-estimate marks.
pi_lwd	Line width used for the prediction interval.
rug	A logical value indicating whether a rug of Monte Carlo draws is added.
transf	Optional transformation function for the predictive draws.
transf_name	Optional character string naming transf.
qtype	The quantile type used in stats::quantile(). Default is 8.
...	Additional arguments passed to graphics::hist().

Value

The input object x, invisibly.

Examples

data(hf_iron)
fit_hf <- cdmeta(hf_iron$yi, hf_iron$sei, B = 10000, seed = 11111)
plot(fit_hf)

cdmeta documentation built on Sept. 15, 2026, 5:09 p.m.