compute_A_B_G_D_and_simulate_mu_Lambda_q0: Computation and simulations for q = 0.

In fabMix: Overfitting Bayesian Mixtures of Factor Analyzers with Parsimonious Covariance and Unknown Number of Components

Computation and simulations for q = 0.

Description

This function simulates \mu.

Usage

	compute_A_B_G_D_and_simulate_mu_Lambda_q0(SigmaINV, 
		suff_statistics, K, priorConst1, T_INV, v_r)

Arguments

SigmaINV	Precision matrix \Sigma^{-1}
suff_statistics	Sufficient statistics
K	Number of overfitting mixture components
priorConst1	Prior constant: T^{-1}\xi
T_INV	Prior parameter: T^{-1}\xi
v_r	This vector is used to set to zero the upper right (q-1)\times(q-1) diagonal block of factor loadings for identifiability purposes.

Value

A list containing a draw from the conditional distributions of \mu:

mu	K\times p array (marginal mean per component)

Author(s)

Panagiotis Papastamoulis

fabMix documentation built on May 29, 2024, 2:53 a.m.