Create PET publication-bias regression priors.
prior_PET(
distribution,
parameters,
truncation = list(lower = 0, upper = Inf),
prior_weights = 1
)An object inheriting from prior with the prior.PET
marker class.
character. Prior distribution name.
list. Distribution parameters.
list with lower and upper truncation bounds.
numeric prior model weight.
This forwards to BayesTools::prior_PET() and uses the same
distribution and parameter conventions as prior(). By default, PET
priors are truncated to the positive half-line.
publication_bias_prior_specification