zplot.brma: Plot Zplot Diagnostics Directly

In RoBMA: Robust Bayesian Meta-Analyses

Plot Zplot Diagnostics Directly

Description

Convenience wrapper for creating and plotting zplot diagnostics from a fitted brma object.

Usage

## S3 method for class 'brma'
zplot(
  object,
  significance_level = stats::qnorm(0.975),
  summary_max_samples = 10000,
  ...
)

## S3 method for class 'zplot_brma'
zplot(object, ...)

Arguments

object	a normal-outcome brma object, or a zplot_brma object.
significance_level	z-value threshold for significance. Defaults to qnorm(0.975) (two-sided alpha = 0.05).
summary_max_samples	maximum number of posterior samples used for the EDR and missing-study summaries stored in the generated zplot object. This is separate from the plot-density max_samples argument accepted by plot.zplot_brma() through .... Defaults to 10000. Use Inf to use all posterior samples.
...	arguments passed to plot.zplot_brma().

Details

When object already inherits from zplot_brma, zplot() dispatches directly to plot.zplot_brma() without recomputing stored summaries.

Value

NULL invisibly for base graphics, or a ggplot2 object.

See Also

as_zplot.brma(), plot.zplot_brma(), summary.zplot_brma()

Examples

## Not run: 
if (requireNamespace("metadat", quietly = TRUE)) {
  data(dat.lehmann2018, package = "metadat")
  fit <- bPET(yi = yi, vi = vi, data = dat.lehmann2018, measure = "SMD")

  zplot(fit)
}

## End(Not run)

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