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

Description

This function simulates μ.

Usage

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

Arguments

SigmaINV	Precision matrix Σ^{-1}
suff_statistics	Sufficient statistics
K	Number of overfitting mixture components
priorConst1	Prior constant: T^{-1}ξ
T_INV	Prior parameter: T^{-1}ξ
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 μ:

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

Author(s)

Panagiotis Papastamoulis

fabMix documentation built on Feb. 20, 2020, 1:09 a.m.