Description Usage Arguments Value See Also
View source: R/clustMD_InternalFunctions.R
Approximates the observed log likelihood.
1 2 | ObsLogLikelihood(N, CnsIndx, G, Y, mu, Sigma, pi.vec, patt.indx, zlimits, J,
OrdIndx, probs.nom, model, perc.cut, K)
|
N |
the number of observations. |
CnsIndx |
the number of continuous variables. |
G |
the number of mixture components. |
Y |
an |
mu |
a |
Sigma |
a |
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. |
Output required for clustMD
function.
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