Summarizes heterogeneity of a RoBMA model — summary

Computes the prediction interval, the absolute heterogeneity (tau, tau^2), and relative measures of heterogeneity (I^2, H^2) for a fitted RoBMA object.

Usage

summary_heterogeneity(
  object,
  type = "ensemble",
  conditional = FALSE,
  output_scale = NULL,
  probs = c(0.025, 0.975),
  short_name = FALSE,
  remove_spike_0 = FALSE
)

Arguments

object: a fitted RoBMA object
type: whether to show the overall RoBMA results ("ensemble") or a detailed summary of the individual models ("individual"). Can be abbreviated to first letters.
conditional: show the conditional estimates (assuming that the alternative is true). Defaults to FALSE. Only available for type == "ensemble".
output_scale: transform the meta-analytic estimates to a different scale. Defaults to NULL which returns the same scale as the model was estimated on.
probs: quantiles of the posterior samples to be displayed. Defaults to c(.025, .975)
short_name: whether priors names should be shortened to the first (couple) of letters. Defaults to FALSE.
remove_spike_0: whether spike prior distributions with location at zero should be omitted from the summary. Defaults to FALSE.

Value

summary_heterogeneity returns a list of tables of class 'BayesTools_table'.

Details

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.