plot_posterior: Plot Posterior Distribution

In metaBMA: Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis

Plot Posterior Distribution

Description

Plot Posterior Distribution

Usage

plot_posterior(
  meta,
  parameter = "d",
  from,
  to,
  summary = c("mean", "hpd"),
  ...
)

Arguments

meta	fitted meta-analysis model
parameter	only for random-effects model: whether to plot "d" or "tau"
from	lower limit of the x-axis
to	upper limit of the x-axis
summary	character vector with two values: first, either "mean" or "50%"; and second, either highest-probability-density interval "hpd" or the Bayesian credibility interval "bci".
...	arguments passed to plot

See Also

meta_bma, meta_fixed, meta_random

metaBMA documentation built on Sept. 13, 2023, 9:06 a.m.