sugscompMl: Computes the log marginal likelihood of clustering for...

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

Description

Computes the log marginal likelihood of clustering for vanilla SUGS

Usage

sugscompMl(K, D, n, nu_0, S_0, lambda_0, nu, lambda, S)

Arguments

K	The number of currently occupied clusters
D	The number of variable in the data
n	The vector indicating the number of observations in each cluster
nu_0	The prior degrees of freedom
S_0	The prior scale vector
lambda_0	The prior mean variance
nu	The current posterior degrees of freedom
lambda	The current posterior mean variance
S	The current posterior scale vector

Value

The log Marginal likelihood of the clustering

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