true_effects computes the estimated true effect size
for a fitted RoBMA object. These estimates correspond to the frequentist
"Best Linear Unbiased Predictions (BLUPs)" (blup).
Only available for normal-normal models estimated using the
spike-and-slab algorithm (i.e., algorithm = "ss").
true_effects(
object,
conditional = FALSE,
output_scale = NULL,
probs = c(0.025, 0.975),
as_samples = FALSE
)pooled_effect returns a list of tables of class 'BayesTools_table'.
a fitted RoBMA object
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 posterior samples instead of a summary table should
be returned. Defaults to FALSE.
The true effect size estimates are computed under the normal likelihood. As such, they might not approximate the true effect size estimates under selection models well.
The conditional estimate is calculated conditional on the presence of the effect (in meta-analysis) or the intercept (in meta-regression).