Function find the prior probability of a set of boosting parameters assuming that boosting is drawn from a normal distribution (random effects)
prob_mus(mus, pars)
mus | the vector of boosting parameters |
---|---|
pars | the vector of other model parameters including mu_mean and mu_sd |
a single log prior probability
Other priors:
calc_phi_probs_indiv()
,
calc_phi_probs_spline()
,
calc_phi_probs()
,
create_prior_mu()
,
create_prob_shifts()
,
find_beta_prior_mode()
,
find_beta_prior_with_mean_var()
,
find_beta_prior_with_mean()
,
fit_beta_prior()
,
fit_normal_prior()
,
inf_mat_prior()
,
infection_history_prior()
,
prob_shifts()