Plot prior or posterior distributions of multiple analyses performed with
meta_sensitivity().
# S3 method for class 'meta_sensitivity'
plot(
x,
parameter = "d",
distribution = "posterior",
from,
to,
n = 101,
legend = TRUE,
...
)prior probability density function defined via prior.
which parameter should be plotted: "d" or "tau".
which distribution should be plotted: "prior" or "posterior".
lower boundary
upper boundary
integer; the number of x values at which to evaluate.
whether to print all prior specifications and plot a corresponding legend.
further arguments passed to plot
For meta-analysis with model averaging via meta_bma(), plotting the
model-averaged posterior of tau is not yet supported. Instead, the posterior
distributions for the random effects models will be plotted.