clustMD (version 1.2.1)

z.moments: Calculates the first and second moments of the latent data

Description

Internal function.

Usage

z.moments(D, G, N, CnsIndx, OrdIndx, zlimits, mu, Sigma, Y, J, K, norms,
  nom.ind.Z, patt.indx)

Arguments

D

dimension of the latent data.

G

number of mixture components.

N

number of observations.

CnsIndx

the number of continuous variables.

OrdIndx

the sum of the number of continuous and ordinal (including binary) variables.

zlimits

the truncation points for the latent data.

mu

a D x G matrix of means.

Sigma

a D x D x G array of covariance parameters.

Y

an N x J data matrix.

J

the number of variables.

K

the number of levels for each variable.

norms

a matrix of standard normal deviates.

nom.ind.Z

the latent dimensions corresponding to each nominal variable.

patt.indx

a list of length equal to the number of observed response patterns. Each entry of the list details the observations for which that response pattern was observed.

Value

Output required for clustMD function.

See Also

clustMD