updatemu: Update the mean of each cluster.

In MEclustnet: Fit the Mixture of Experts Latent Position Cluster Model to Network Data

Description

A Gibbs step to update the mean of each cluster.

Usage

updatemu(G, z, K, m, sigma2, omega2, Id, mu, d)

Arguments

G	The number of clusters being fitted.
z	The n x d matrix of latent locations.
K	The cluster membership vector.
m	Vector of length G containing the number of nodes in each cluster.
sigma2	The covariance of each cluster.
omega2	Covariance of the multivariate normal prior distribution on the means. Note this is a scalar value, as the prior covariance is diagonal.
Id	A d x d identity matrix.
mu	The G x d matrix of cluster means.
d	The dimension of the latent space.

Value

The G x d matrix of cluster means.

References

Isobel Claire Gormley and Thomas Brendan Murphy. (2010) A Mixture of Experts Latent Position Cluster Model for Social Network Data. Statistical Methodology, 7 (3), pp.385-405.

See Also

MEclustnet

MEclustnet documentation built on Oct. 10, 2019, 5:04 p.m.