plot.marginal_means.brma: Plot Estimated Marginal Means

In RoBMA: Robust Bayesian Meta-Analyses

Plot Estimated Marginal Means

Description

Plots estimated marginal means stored in a marginal_means.brma object using BayesTools::plot_marginal().

Usage

## S3 method for class 'marginal_means.brma'
plot(
  x,
  parameter,
  type = NULL,
  prior = FALSE,
  plot_type = "base",
  dots_prior = NULL,
  output_measure = NULL,
  transform = NULL,
  ...
)

Arguments

x	a marginal_means.brma object.
parameter	moderator term to plot. Use the original term name, for example "measure", "intercept" for the intercept when available, "mu" as an intercept alias, or the internal parameter name, for example "mu_measure".
type	for RoBMA product-space objects, whether to plot model-averaged ("averaged") or conditional ("conditional") marginal means. Defaults to "averaged" and is available only for RoBMA marginal means.
prior	whether the marginal prior distribution should be added to the plot. Defaults to FALSE.
plot_type	whether to use base R graphics ("base") or ggplot2 ("ggplot"). Defaults to "base".
dots_prior	list of additional graphical arguments passed to the prior plotting function.
output_measure	effect-size measure for location/effect predictions. Defaults to the fitted measure. Supported conversions are among "SMD", "COR", "ZCOR", and "OR"; "RR", "HR", "IRR", "RD", and "GEN" can only be returned on their fitted measure. Use transform = "EXP" for ratio-scale output from log-scale measures.
transform	optional display transformation. Currently "EXP" exponentiates log-scale measures "OR", "RR", "HR", and "IRR".
...	additional graphical arguments passed to BayesTools::plot_marginal().

Value

NULL invisibly if plot_type = "base" or a ggplot object if plot_type = "ggplot".

RoBMA documentation built on May 7, 2026, 5:08 p.m.