Usage
ObsLogLikelihood(N, CnsIndx, G, Y, mu, Sigma, pi.vec, patt.indx, zlimits, J,
OrdIndx, probs.nom, model, perc.cut, K)
Arguments
N
the number of observations.
CnsIndx
the number of continuous variables.
G
the number of mixture components.
mu
a D x G matrix of means.
Sigma
a D x D x G array of covariance parameters.
pi.vec
the mixing weights.
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.
zlimits
the truncation points for the latent data.
J
the number of variables.
OrdIndx
the sum of the number of continuous and ordinal (including
binary) variables.
probs.nom
an array containing the response probabilities for each
nominal variable for each cluster
model
the covariance model fitted to the data.
perc.cut
threshold parameters.
K
the number of levels for each variable.