# Model-based cluster analysis

## Documentation for package `mclust' version 2.1-8

## User Guides and Package Vignettes

Read overview or browse directory.

## Help Pages

B C D E G H L M P R S U

.Mclust | List of values controlling defaults for some MCLUST functions.

## -- B --

bic | BIC for Parameterized MVN Mixture Models
bicE | BIC for a Parameterized MVN Mixture Model
bicEEE | BIC for a Parameterized MVN Mixture Model
bicEEI | BIC for a Parameterized MVN Mixture Model
bicEEV | BIC for a Parameterized MVN Mixture Model
bicEII | BIC for a Parameterized MVN Mixture Model
bicEMtrain | Select models in discriminant analysis using BIC
bicEVI | BIC for a Parameterized MVN Mixture Model
bicV | BIC for a Parameterized MVN Mixture Model
bicVEI | BIC for a Parameterized MVN Mixture Model
bicVEV | BIC for a Parameterized MVN Mixture Model
bicVII | BIC for a Parameterized MVN Mixture Model
bicVVI | BIC for a Parameterized MVN Mixture Model
bicVVV | BIC for a Parameterized MVN Mixture Model

## -- C --

cdens | Component Density for Parameterized MVN Mixture Models
cdensE | Component Density for a Parameterized MVN Mixture Model
cdensEEE | Component Density for a Parameterized MVN Mixture Model
cdensEEI | Component Density for a Parameterized MVN Mixture Model
cdensEEV | Component Density for a Parameterized MVN Mixture Model
cdensEII | Component Density for a Parameterized MVN Mixture Model
cdensEVI | Component Density for a Parameterized MVN Mixture Model
cdensV | Component Density for a Parameterized MVN Mixture Model
cdensVEI | Component Density for a Parameterized MVN Mixture Model
cdensVEV | Component Density for a Parameterized MVN Mixture Model
cdensVII | Component Density for a Parameterized MVN Mixture Model
cdensVVI | Component Density for a Parameterized MVN Mixture Model
cdensVVV | Component Density for a Parameterized MVN Mixture Model
chevron | Simulated minefield data
classError | Classification error.
classErrors | Classification error.
clPairs | Pairwise Scatter Plots showing Classification
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

## -- D --

decomp2sigma | Convert mixture component covariances to matrix form.
Defaults.Mclust | List of values controlling defaults for some MCLUST functions.
dens | Density for Parameterized MVN Mixtures
density | Kernel Density Estimation
diabetes | Diabetes data

## -- E --

em | EM algorithm starting with E-step for parameterized MVN mixture models.
EMclust | BIC for Model-Based Clustering
EMclustN | BIC for Model-Based Clustering with Poisson Noise
emE | EM algorithm starting with E-step for a parameterized MVN mixture model.
emEEE | EM algorithm starting with E-step for a parameterized MVN mixture model.
emEEI | EM algorithm starting with E-step for a parameterized MVN mixture model.
emEEV | EM algorithm starting with E-step for a parameterized MVN mixture model.
emEII | EM algorithm starting with E-step for a parameterized MVN mixture model.
emEVI | EM algorithm starting with E-step for a parameterized MVN mixture model.
emV | EM algorithm starting with E-step for a parameterized MVN mixture model.
emVEI | EM algorithm starting with E-step for a parameterized MVN mixture model.
emVEV | EM algorithm starting with E-step for a parameterized MVN mixture model.
emVII | EM algorithm starting with E-step for a parameterized MVN mixture model.
emVVI | EM algorithm starting with E-step for a parameterized MVN mixture model.
emVVV | 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.
estepEEE | E-step in the EM algorithm for a parameterized MVN mixture model.
estepEEI | E-step in the EM algorithm for a parameterized MVN mixture model.
estepEEV | E-step in the EM algorithm for a parameterized MVN mixture model.
estepEII | E-step in the EM algorithm for a parameterized MVN mixture model.
estepEVI | E-step in the EM algorithm for a parameterized MVN mixture model.
estepV | E-step in the EM algorithm for a parameterized MVN mixture model.
estepVEI | E-step in the EM algorithm for a parameterized MVN mixture model.
estepVEV | E-step in the EM algorithm for a parameterized MVN mixture model.
estepVII | E-step in the EM algorithm for a parameterized MVN mixture model.
estepVVI | E-step in the EM algorithm for a parameterized MVN mixture model.
estepVVV | E-step in the EM algorithm for a parameterized MVN mixture model.

## -- G --

grid1 | Generate grid points
grid2 | Generate grid points

## -- H --

hc | Model-based Hierarchical Clustering
hcE | Model-based Hierarchical Clustering
hcEEE | Model-based Hierarchical Clustering
hcEII | Model-based Hierarchical Clustering
hclass | Classifications from Hierarchical Agglomeration
hcV | Model-based Hierarchical Clustering
hcVII | Model-based Hierarchical Clustering
hcVVV | Model-based Hierarchical Clustering
hypvol | Aproximate Hypervolume for Multivariate Data

## -- L --

lansing | Maple trees in Lansing Woods

## -- M --

map | Classification given Probabilities
mapClass | Correspondence between classifications.
Mclust | Model-Based Clustering
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.
meEEE | EM algorithm starting with M-step for a parameterized MVN mixture model.
meEEI | EM algorithm starting with M-step for a parameterized MVN mixture model.
meEEV | EM algorithm starting with M-step for a parameterized MVN mixture model.
meEII | EM algorithm starting with M-step for a parameterized MVN mixture model.
meEVI | EM algorithm starting with M-step for a parameterized MVN mixture model.
meV | EM algorithm starting with M-step for a parameterized MVN mixture model.
meVEI | EM algorithm starting with M-step for a parameterized MVN mixture model.
meVEV | EM algorithm starting with M-step for a parameterized MVN mixture model.
meVII | EM algorithm starting with M-step for a parameterized MVN mixture model.
meVVI | EM algorithm starting with M-step for a parameterized MVN mixture model.
meVVV | 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.
mstepEEE | M-step in the EM algorithm for a parameterized MVN mixture model.
mstepEEI | M-step in the EM algorithm for a parameterized MVN mixture model.
mstepEEV | M-step in the EM algorithm for a parameterized MVN mixture model.
mstepEII | M-step in the EM algorithm for a parameterized MVN mixture model.
mstepEVI | M-step in the EM algorithm for a parameterized MVN mixture model.
mstepV | M-step in the EM algorithm for a parameterized MVN mixture model.
mstepVEI | M-step in the EM algorithm for a parameterized MVN mixture model.
mstepVEV | M-step in the EM algorithm for a parameterized MVN mixture model.
mstepVII | M-step in the EM algorithm for a parameterized MVN mixture model.
mstepVVI | M-step in the EM algorithm for a parameterized MVN mixture model.
mstepVVV | M-step in the EM algorithm for a parameterized MVN mixture model.
mvn | Multivariate Normal Fit
mvnX | Multivariate Normal Fit
mvnXII | Multivariate Normal Fit
mvnXXI | Multivariate Normal Fit
mvnXXX | Multivariate Normal Fit

## -- P --

partconv | Convert partitioning into numerical vector.
partuniq | Classifies Data According to Unique Observations
plot.EMclust | BIC for Model-Based Clustering
plot.EMclustN | BIC for Model-Based Clustering with Poisson Noise
plot.Mclust | Plot Model-Based Clustering Results
plot.mclustDA | Plotting method for MclustDA discriminant analysis.
print.density | Kernel Density Estimation
print.EMclust | BIC for Model-Based Clustering
print.EMclustN | BIC for Model-Based Clustering with Poisson Noise
print.Mclust | Model-Based Clustering
print.mclustDA | MclustDA discriminant analysis.
print.summary.EMclust | Summary function for EMclust
print.summary.EMclustN | summary function for EMclustN

## -- R --

randProj | Random projections for data in more than two dimensions modelled by an MVN mixture.

## -- S --

sigma2decomp | Convert mixture component covariances to decomposition form.
sim | Simulate from Parameterized MVN Mixture Models
simE | Simulate from a Parameterized MVN Mixture Model
simEEE | Simulate from a Parameterized MVN Mixture Model
simEEI | Simulate from a Parameterized MVN Mixture Model
simEEV | Simulate from a Parameterized MVN Mixture Model
simEII | Simulate from a Parameterized MVN Mixture Model
simEVI | Simulate from a Parameterized MVN Mixture Model
simV | Simulate from a Parameterized MVN Mixture Model
simVEI | Simulate from a Parameterized MVN Mixture Model
simVEV | Simulate from a Parameterized MVN Mixture Model
simVII | Simulate from a Parameterized MVN Mixture Model
simVVI | Simulate from a Parameterized MVN Mixture Model
simVVV | 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.

## -- U --

uncerPlot | Uncertainty Plot for Model-Based Clustering
unmap | Indicator Variables given Classification