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PET Prior

Source: R/priors.R
prior_PET.Rd

Create PET publication-bias regression priors.

Usage

prior_PET(
  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.

Value

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

Details

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.

See also

publication_bias_prior_specification