prior_PEESE: PEESE Prior

In RoBMA: Robust Bayesian Meta-Analyses

PEESE Prior

Description

Create PEESE publication-bias regression priors.

Usage

prior_PEESE(
  distribution,
  parameters,
  truncation = list(lower = 0, upper = Inf),
  prior_weights = 1
)

Arguments

distribution	character. Prior distribution name.
parameters	list. Distribution parameters.
truncation	list with lower and upper truncation bounds.
prior_weights	numeric prior model weight.

Details

This forwards to BayesTools::prior_PEESE() and uses the same distribution and parameter conventions as prior().

Value

An object inheriting from prior with the prior.PEESE marker class.

See Also

publication_bias_prior_specification

RoBMA documentation built on May 7, 2026, 5:08 p.m.