set_priors_status_dyn: Sets the parameters associated with priors related to...

In AurMad/STOCfree: STOC free model: prediction of probability of freedom from longitudinal data

Sets the parameters associated with priors related to infection dynamics

Description

Sets the parameters associated with priors related to infection dynamics

Usage

set_priors_status_dyn(
  data = NULL,
  pi1_a = NULL,
  pi1_b = NULL,
  logit_pi1_mean = NULL,
  logit_pi1_sd = NULL,
  tau1_a = NULL,
  tau1_b = NULL,
  logit_tau1_mean = NULL,
  logit_tau1_sd = NULL,
  tau2_a = NULL,
  tau2_b = NULL,
  logit_tau2_mean = NULL,
  logit_tau2_sd = NULL,
  pi_within_a = NULL,
  pi_within_b = NULL,
  logit_pi_within_mean = NULL,
  logit_pi_within_sd = NULL
)

Arguments

data	a STOCfree_data object
pi1_a	alpha parameter for the prior distribution of the probability of being infected on the first test
pi1_b	beta parameter for the prior distribution of the probability of being infected on the first test
tau2_a	alpha parameter for the prior distribution of the probability of remaining infected between consecutive months
tau2_b	beta parameter for the prior distribution of the probability of remaining infected between consecutive months

AurMad/STOCfree documentation built on Sept. 13, 2022, 3:20 a.m.