Computes the prediction interval, the absolute heterogeneity (tau, tau^2), and relative measures of heterogeneity (I^2, H^2) for a fitted RoBMA object.
summary_heterogeneity(
object,
type = "ensemble",
conditional = FALSE,
output_scale = NULL,
probs = c(0.025, 0.975),
short_name = FALSE,
remove_spike_0 = FALSE
)summary_heterogeneity returns a list of tables of class 'BayesTools_table'.
a fitted RoBMA object
whether to show the overall RoBMA results ("ensemble")
or a detailed summary of the individual models ("individual").
Can be abbreviated to first letters.
show the conditional estimates (assuming that the
alternative is true). Defaults to FALSE. Only available for
type == "ensemble".
transform the meta-analytic estimates to a different
scale. Defaults to NULL which returns the same scale as the model was estimated on.
quantiles of the posterior samples to be displayed.
Defaults to c(.025, .975)
whether priors names should be shortened to the first
(couple) of letters. Defaults to FALSE.
whether spike prior distributions with location at zero should
be omitted from the summary. Defaults to FALSE.
The conditional argument allows for computing the conditional prediction interval based
on models assuming the presence of the effect and the conditional heterogeneity estimates
tau, tau^2, I^2, and H^2 assuming the presence of the heterogeneity.
Relative heterogeneity measures (I^2 and H^2) are not available for BiBMA models.