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	E-step for parameterized MVN mixture models 
estep.EEE	E-step for constant-variance MVN mixture models 
estep.EI	E-step for spherical, constant-volume 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	EM for parameterized MVN mixture models 
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.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	Classification Tree for Model-based Gaussian 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.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	M-step for parameterized MVN mixture models 
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.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. 
