Family specific prior distributions for the generalised gamma family

mu and sigma get the intercept priors of the lognormal family. The intercept of Q, on the log scale, gets normal(0, 0.5), centred on the Weibull case.

Usage

# S3 method for class 'gengamma'
epidist_family_prior(family, formula, ...)

Arguments

family

A description of the response distribution and link function to be used in the model. Every family function has a link argument allowing users to specify the link function to be applied on the response variable. If not specified, default links are used. For details of all supported families see brms::brmsfamily(). Commonly used, such as brms::lognormal(), are also reexported as part of epidist.

formula

An object of class stats::formula or brms::brmsformula (or one that can be coerced to those classes). A symbolic description of the model to be fitted. A formula must be provided for the distributional parameter mu, and may optionally be provided for other distributional parameters.

...

Additional arguments passed to fn method.

Value

A brmsprior object.

See also

Other prior: epidist_family_prior(), epidist_family_prior.default(), epidist_family_prior.lognormal(), epidist_model_prior(), epidist_model_prior.default(), epidist_model_prior.epidist_meta_model(), epidist_prior()