Description Usage Arguments Value See Also
View source: R/clustMD_InternalFunctions.R
Internal function.
1 2 | 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 |
Sigma |
a |
Y |
an |
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.
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