Presence/Absence Combined Judgmental and Random Sampling with Uniform Prior

This module is a special case of the Combined Judgmental and Random (CJR) sampling design, where the prior distribution is chosen to be uniform. The uniform distribution is a non-informative prior and gives results that are very similar to traditional frequentist (non-Bayesian) methods. The help page for the CJR design is still applicable, except \(P_J\) is set to 0.50, which implies \(\beta\) = 1, and consequently, \(\theta\) follows a uniform distribution on the interval (0,1).