sugsclustMarg: Computes the marginal probability of an observation belonging...

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

Description

Computes the marginal probability of an observation belonging to a currently occupied cluster.

Usage

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

Arguments

x	The observation currently underconsideration.
K	The number of clusters.
i	The current iteration state of the algorithm.
D	The number of variable in the data matrix.
n	The vector indicating the number of observations in each cluster
betaHat	The grid of concentration parameters.
phi	The probability weights of beteHat.
m	The current posterior mean.
nu	The current posterior degrees of freedom.
S	The current posterior scale vector.
lambda	The current posterior mean variance.
intfeature	A binary vector indicating whether features are irrelevant (0) or relevant (1).

Value

The unnormalised probability of belong to any of the currently occupied clusters.

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