Model specific prior distributions for latent models — epidist_model_prior.epidist_latent_model • epidist

Defines prior distributions for the latent model parameters pwindow_raw and swindow_raw which control the width of the observation windows.

Usage

# S3 method for class 'epidist_latent_model'
epidist_model_prior(data, formula, ...)

Arguments

data: An object with class corresponding to an implemented model.
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.

See also

Other latent_model: as_epidist_latent_model(), as_epidist_latent_model.epidist_aggregate_data(), as_epidist_latent_model.epidist_linelist_data(), epidist_family_model.epidist_latent_model(), epidist_formula_model.epidist_latent_model(), is_epidist_latent_model(), new_epidist_latent_model()