postTaui: Sample a value from the full conditional posterior of tau_i

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 tau_i

Description

In our model the data are drawn from LogN(mu_i + log(c_ij), tau_i). The prior for tau_i is given as Gamma(thetai*phi, phi). This function draws from the conditional posterior of tau_i. Note that we parameterize with RATE, not SCALE.

Usage

postTaui(yij, cij, mui, thetai, phi = 1)

Arguments

yij	Numeric vector, cycle lengths for a single individual
cij	Positive Integer vector, a sampled vector of length(yij) where the corresponding values in cij indicate a sampled number of TRUE cycles in each cycle length given by yij
mui	Numeric, log of sampled mean of this individual's yijs
thetai	Numeric, mean of prior (gamma) distribution on taui
phi	Numeric, rate for Taui prior

Details

Additionally, note that in order to vectorize the remainder of the MCMC algorithm this function returns the sampled value repeated for length(yij)

Value

Numeric vector, repeated sampled value of length(yij)

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