Prepare priors for Model 2a

Thin wrapper that builds the full Model 2a prior list: it calls prep_priors() for the Chapter 1 hyperpriors (mu.hyp, prec.hyp, omega, wishdf, prec.logy.hyp, n_params) and then appends the factor-loading prior via add_factor_priors().

Because Model 2a keeps the Chapter 1 priors intact, all Chapter 1 prior arguments are forwarded unchanged through ....

Usage

prep_priors_2a(max_antigens, prec_lambda = 0.25, ...)

Arguments

max_antigens

An integer: number of biomarkers (must be >= 2 for Model 2a, which couples biomarkers).

prec_lambda

Prior precision of the factor loadings (see add_factor_priors()). Default 0.25.

...

Additional Chapter 1 prior arguments forwarded to prep_priors() (e.g. mu_hyp_param, omega_param, wishdf_param).

Value

A prior list suitable for model_2a.jags.