awe                     Approximate weight of evidence for model-based
                        hierarchical clustering. 
bic                     BIC for parameterized MVN mixture models 
censcale                Centering and Scaling of Data 
chevron                 Simulated minefield data
clpairs                 Classifications for hierarchical clustering. 
diabetes                Diabetes data
emclust                 BIC from hierarchical clustering followed by EM
                        for several parameterized Gaussian mixture
                        models. 
emclust1                BIC from hierarchical clustering followed by EM
                        for a parameterized Gaussian mixture model. 
estep.EEE               E-step for constant-variance MVN mixture models 
estep.EI                E-step for spherical, constant-volume MVN
                        mixture models 
estep                   E-step for parameterized MVN mixture models 
estep.VI                E-step for spherical, varying volume MVN
                        mixture models 
estep.VVV               E-step for constant-variance MVN mixture models 
estep.XEV               E-step for constant shape MVN mixture models 
hypvol                  Estimation of hypervolume
loglik                  Loglikelihood for model-based hierarchical
                        clustering. 
me.EEE                  EM for constant-variance MVN mixture models 
me.EEV                  EM for constant shape, constant volume MVN
                        mixture models 
me.EI                   EM for spherical, constant-volume MVN mixture
                        models 
me                      EM for parameterized MVN mixture models 
me.VEV                  EM for constant shape, varying volume MVN
                        mixture models 
me.VI                   EM for spherical, varying volume MVN mixture
                        models 
me.VVV                  EM for unconstrained MVN mixture models 
mhclass                 Classifications for hierarchical clustering. 
mhtree.EEE              Classification tree for hierarchical clustering
                        for Gaussian models with constant variance. 
mhtree.EFV              Classification tree for hierarchical clustering
                        for Gaussian models with equal volume and fixed
                        shape. 
mhtree.EI               Classification tree for hierarchical clustering
                        for Gaussian models with uniform diagonal
                        variance. 
mhtree                  Classification Tree for Model-based Gaussian
                        hierarchical clustering. 
mhtree.VFV              Classification tree for hierarchical clustering
                        for Gaussian models with equal volume and
                        constant shape. 
mhtree.VI               Classification tree for hierarchical clustering
                        for Gaussian models with diagonal variance. 
mhtree.VVV              Classification tree for hierarchical clustering
                        for Gaussian models with unconstrained
                        variance. 
mixproj                 Displays one standard deviation of an MVN
                        mixture classification. 
mstep.EEE               M-step for constant-variance MVN mixture models 
mstep.EEV               M-step for constant shape, constant volume MVN
                        mixture models 
mstep.EI                M-step for spherical, constant-volume MVN
                        mixture models 
mstep                   M-step for parameterized MVN mixture models 
mstep.VEV               M-step for constant shape, constant volume MVN
                        mixture models 
mstep.VI                M-step for spherical, varying volume MVN
                        mixture models 
mstep.VVV               M-step for unconstrained MVN mixture models 
one.XXX                 Log-likelihood for a single cluster
partconv                Convert partitioning into numerical vector.
partuniq                Classifies Data According to Unique
                        Observations 
plot.emclust            Plot BIC values
print.emclust           Print methods for BIC values
summary.emclust         Summary method for `emclust' objects. 
summary.emclust1        Summary method for `emclust1' objects. 
traceW                  Compute traceW
ztoc                    Conversion between conditional probabilities
                        and a classification
