Internal helper that builds a named list of brms prior strings based on the chosen prior type, family, and adaptive prior recommendations.
Usage
assemble_brms_priors(
prior_type,
prior_effect_mean,
prior_effect_sd,
heterogeneous_variance,
model_family_value,
adaptive_priors,
treatment_coef = NULL
)Arguments
- prior_type
Character: "default", "informative", "meta_analytic", or "sensitivity".
- prior_effect_mean
Numeric mean for the meta-analytic prior.
- prior_effect_sd
Numeric SD for the meta-analytic prior.
- heterogeneous_variance
Logical; if TRUE add separate sigma priors.
- model_family_value
Character name of the brms family.
- adaptive_priors
List from
generate_adaptive_priors().- treatment_coef
Optional name of the treatment coefficient. When supplied with an informative or meta-analytic prior type, the elicited treatment prior targets only this coefficient (
coef) and a weakly-informative default covers the remainingbcoefficients.