plot.marginal_means.brma: Plot Estimated Marginal Means

Description

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

Usage

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

Value

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

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().