Description Usage Arguments Details Value See Also Examples
Supplies a list of values including tolerances for singularity and convergence assessment, for use functions involving EM within MCLUST.
1  emControl(eps, tol, itmax, equalPro)

eps 
A scalar tolerance associated with deciding when to terminate
computations due to computational singularity in
covariances. Smaller values of 
tol 
A vector of length two giving relative convergence tolerances for the
loglikelihood and for parameter convergence in the inner loop for models
with iterative Mstep ("VEI", "EVE", "VEE", "VVE", "VEV"), respectively.
The default is 
itmax 
A vector of length two giving integer limits on the number of EM
iterations and on the number of iterations in the inner loop for
models with iterative Mstep ("VEI", "EVE", "VEE", "VVE", "VEV"),
respectively. The default is

equalPro 
Logical variable indicating whether or not the mixing proportions are
equal in the model. Default: 
emControl
is provided for assigning values and defaults
for EM within MCLUST.
A named list in which the names are the names of the arguments and the values are the values supplied to the arguments.
em
,
estep
,
me
,
mstep
,
mclustBIC
1 2 
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