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PEESE Prior

Source: R/priors.R
prior_PEESE.Rd

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.

Value

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

Details

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

See also

publication_bias_prior_specification