expeGauss: Update log(Rho) for independent Gaussians

In acabassi/variational-ogc: Variational Outcome-Guided Clustering

Description

Update log(Rho) for independent Gaussians

Usage

expeGauss(X, D, N, v_k, m_k, M_k, beta_k, ms, indep, logW_k)

Arguments

X	NxD data matrix.
D	Number of covariates.
N	Number of observations.
v_k	Precision hyperparameter.
m_k	Mean hyperparameter.
M_k	Precision hyperparameter.
beta_k	Mean hyperparameter.
ms	Boolean flag that indicates if model selection is required.
indep	Boolean flag that indicates if the covariates are considered to be independent.
logW_k	log(1/det(M)), not needed if indep is TRUE).

acabassi/variational-ogc documentation built on May 23, 2019, 2:45 p.m.