estep.Rd
Implements the expectation step of EM algorithm for parameterized Gaussian mixture models.
estep(data, modelName, parameters, warn = NULL, ...)
data  A numeric vector, matrix, or data frame of observations. Categorical variables are not allowed. If a matrix or data frame, rows correspond to observations and columns correspond to variables. 

modelName  A character string indicating the model. The help file for

parameters  A names list giving the parameters of the model. The components are as follows:

warn  A logical value indicating whether or not a warning should be issued
when computations fail. The default is 
...  Catches unused arguments in indirect or list calls via 
A list including the following components:
A character string identifying the model (same as the input argument).
A matrix whose [i,k]
th entry is the conditional probability
of the ith observation belonging to the kth component
of the mixture.
The input parameters.
The loglikelihood for the data in the mixture model.
"WARNING"
: an appropriate warning if problems are
encountered in the computations.
estepE
, ...,
estepVVV
,
em
,
mstep
,
mclust.options
mclustVariance