what is the purpose of this feature in a point estimate what is the blending situation in a bayesian model why is p_i an incomplete value in jages what is the gamma value of f(sigma)$? which condition is used when calculating the p_i of the threshold? is f or mu always the same in javags if the threshold is binomial what is the solution to this equation? what is hyperprevalence of theta and theta how to do an x-i model javags definition of gamma what is the point estimate of normally distributed threshold parameter with unknown mean and variance what are the normal distributions of the p_i? what is the hyper prior distribution of the parameter in the model? what is p_i how to approximate the normal range of a threshold parameter if a parameter is normally distributed, then this is called a p_i what is the p_i model used to predict where is the value of p_i which condition is used for estimating the range of a normally distributed threshold parameter? how to determine the threshold for the t