sugsclusterProb: A function to compute the marginal probability of belong to...

In ococrook/sugsvarsel: SUGS algorithm of Wang and Dunson (2011), SUGS VarSel algorithm Crook et al.

Description

A function to compute the marginal probability of belong to an occupied cluster for the SUGS algorithm

Usage

sugsclusterProb(x, K, i, D, n, betaHat, phi, m, nu, S, lambda)

Arguments

x	The current observation under consideration.
K	The number of occupied clusters
i	The current iteration of the SUGS algorithm
D	The number of variables
n	A numeric vector containing the number of observations allocated to each cluster
betaHat	The grid of values for the dirichlet concentration parameter
phi	The weights associated with the dirichlet grid prior
m	The current posterior mean
nu	The current posterior degrees of freedom
S	The current posterior scale vector
lambda	The current posterior for the mean variance

Value

The numeric vector with the unnormalised probability of beloging to each cluster.

ococrook/sugsvarsel documentation built on May 27, 2019, 12:12 p.m.