updatesigma2 {MEclustnet}

Update variances in each cluster.

Description

A Gibbs step to update variances in each cluster.

Usage

updatesigma2(G, alpha, m, d, sigma02, z, K, mu, sigma2)

Arguments

G

The number of clusters being fitted.

alpha

Degrees of freedom of the scaled inverse Chi squared prior distribution on the cluster variances.

m

Vector of length G containing the number of nodes in each cluster.

d

Dimension of the latent space.

sigma02

Scaled factor of the scaled inverse Chi squared prior distribution on the cluster variances.

z

The n x d matrix of latent locations.

K

The cluster membership vector.

mu

The G x d matrix of cluster means.

sigma2

The G vector of cluster variances.

Value

The G vector of cluster variances.

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