z.moments_diag: Calculates the first and second moments of the latent data...
In clustMD: Model Based Clustering for Mixed Data

z.moments_diag

R Documentation

Calculates the first and second moments of the latent data for diagonal models

Internal function.

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

`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.

Output required for clustMD function.