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| 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. |
| ctoz | Conversion between conditional probabilities and a classification |
| 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 | 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 |
| hypvol | Estimation of hypervolume |
| 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.VEV | Classification tree for hierarchical clustering for Gaussian models with equal volume and constant shape. |
| 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 |
| mvn2plot | Displays one standard deviation of an MVN mixture classification. |
| one.XI | Log-likelihood for a single cluster |
| one.XXX | Log-likelihood for a single cluster |
| partconv | Convert partitioning into numerical vector. |
| partuniq | Classifies Data According to Unique Observations |
| pcvol | Estimation of hypervolume |
| plot.emclust | Plot BIC values |
| plot.emclust1 | Plot BIC values |
| print.bic | Print methods for BIC values |
| print.emclust | Print methods for BIC values |
| print.emclust1 | Print methods for BIC values |
| print.mhtree | Classification Tree for Model-based Gaussian hierarchical clustering. |
| print.summary.emclust | Summary method for `emclust' objects. |
| print.summary.emclust1 | Summary method for `emclust1' objects. |
| 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 |