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Returns the default list of priors for one of the three RoBMA dimensions (effect, heterogeneity, bias). Used internally by robma() when the user does not pass explicit priors.

Usage

robma_default_priors(
  dimension = c("effect", "heterogeneity", "bias"),
  null = FALSE,
  rescale = 1
)

Arguments

dimension

One of "effect", "heterogeneity", "bias".

null

Logical. If TRUE, return the null-model priors (point at zero for effect / heterogeneity, no-bias for bias).

rescale

Numeric. Multiplier on default scales.

Value

A list of bayesma_prior or robma_bias_prior objects.