prob_mus: Prior probability of strain specific boosting

In seroanalytics/serosolver: Inference Framework for Serological Data

Prior probability of strain specific boosting

Description

Function find the prior probability of a set of boosting parameters assuming that boosting is drawn from a normal distribution (random effects)

Usage

prob_mus(mus, pars)

Arguments

mus	the vector of boosting parameters
pars	the vector of other model parameters including mu_mean and mu_sd

Value

a single log prior probability

See Also

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()

seroanalytics/serosolver documentation built on April 24, 2023, 9:52 a.m.