postPi: Sample a value from the full conditional posterior of pi

In skipTrack: A Bayesian Hierarchical Model that Controls for Non-Adherence in Mobile Menstrual Cycle Tracking

Sample a value from the full conditional posterior of pi

Description

In our model the data are drawn from LogN(mu_i + log(c_ij), tau_i) The prior for c_ij is a categorical prior with category probabilities pi1, ..., pik, and c_ij can take values 1, ..., k where k is the length of pi. This function samples from the posterior of pi = pi1, ..., pik, assuming that pi follows Dirichlet(priorAlphas)

Usage

postPi(ci, priorAlphas)

Arguments

ci	Integer vector, all of the sampled cij values for all individuals
priorAlphas	Numeric vector, prior dirichlet parameters for pi

Value

Numeric vector

skipTrack documentation built on April 3, 2025, 6:21 p.m.