Defaults.Mclust         List of values controlling defaults for some
                        MCLUST functions. 
EMclust                 BIC for Model-Based Clustering 
EMclustN                BIC for Model-Based Clustering with Poisson
                        Noise 
Mclust                  Model-Based Clustering 
bic                     BIC for Parameterized MVN Mixture Models 
bicE                    BIC for a Parameterized MVN Mixture Model 
bicEMtrain              Select models in discriminant analysis using
                        BIC
cdens                   Component Density for Parameterized MVN Mixture
                        Models 
cdensE                  Component Density for a Parameterized MVN
                        Mixture Model 
chevron                 Simulated minefield data
clPairs                 Pairwise Scatter Plots showing Classification 
classError              Classification error. 
compareClass            Compare classifications. 
coordProj               Coordinate projections of data in more than two
                        dimensions modelled by an MVN mixture. 
cv1EMtrain              Select discriminant models using cross
                        validation
decomp2sigma            Convert mixture component covariances to matrix
                        form. 
dens                    Density for Parameterized MVN Mixtures 
density                 Kernel Density Estimation
diabetes                Diabetes data
em                      EM algorithm starting with E-step for
                        parameterized MVN mixture models. 
emE                     EM algorithm starting with E-step for a
                        parameterized MVN mixture model. 
estep                   E-step for parameterized MVN mixture models. 
estepE                  E-step in the EM algorithm for a parameterized
                        MVN mixture model. 
grid1                   Generate grid points
hc                      Model-based Hierarchical Clustering 
hcE                     Model-based Hierarchical Clustering 
hclass                  Classifications from Hierarchical Agglomeration 
hypvol                  Aproximate Hypervolume for Multivariate Data 
lansing                 Maple trees in Lansing Woods
map                     Classification given Probabilities 
mapClass                Correspondence between classifications. 
mclust-internal         Internal MCLUST functions
mclust1Dplot            Plot one-dimensional data modelled by an MVN
                        mixture. 
mclust2Dplot            Plot two-dimensional data modelled by an MVN
                        mixture. 
mclustDA                MclustDA discriminant analysis. 
mclustDAtest            MclustDA Testing 
mclustDAtrain           MclustDA Training 
mclustOptions           Set control values for use with MCLUST. 
me                      EM algorithm starting with M-step for
                        parameterized MVN mixture models. 
meE                     EM algorithm starting with M-step for a
                        parameterized MVN mixture model. 
mstep                   M-step in the EM algorithm for parameterized
                        MVN mixture models. 
mstepE                  M-step in the EM algorithm for a parameterized
                        MVN mixture model. 
mvn                     Multivariate Normal Fit 
mvnX                    Multivariate Normal Fit 
partconv                Convert partitioning into numerical vector.
partuniq                Classifies Data According to Unique
                        Observations 
plot.Mclust             Plot Model-Based Clustering Results 
plot.mclustDA           Plotting method for MclustDA discriminant
                        analysis. 
randProj                Random projections for data in more than two
                        dimensions modelled by an MVN mixture. 
sigma2decomp            Convert mixture component covariances to
                        decomposition form. 
sim                     Simulate from Parameterized MVN Mixture Models 
simE                    Simulate from a Parameterized MVN Mixture Model 
spinProj                Planar spin for random projections of data in
                        more than two dimensions modelled by an MVN
                        mixture. 
summary.EMclust         Summary function for EMclust 
summary.EMclustN        summary function for EMclustN 
summary.Mclust          Very brief summary of an Mclust object.
summary.mclustDAtest    Classification and posterior probability from
                        mclustDAtest. 
summary.mclustDAtrain   Models and classifications from mclustDAtrain 
surfacePlot             Density or uncertainty surface for two
                        dimensional mixtures. 
uncerPlot               Uncertainty Plot for Model-Based Clustering 
unmap                   Indicator Variables given Classification 
