awe                      Approximate weight of evidence for model-based
                         hierarchical clustering.
bic                      BIC for parameterized MVN mixture models
censcale                 Centering and Scaling of Data
clpairs                  Classifications for hierarchical clustering.
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
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
partuniq                 Classifies Data According to Unique Observations
summary.emclust          Summary method for `emclust' objects.
summary.emclust1         Summary method for `emclust1' objects.
