`install.packages('mclust')`

53,871

6.0.0

GPL (>= 2)

October 31st, 2022

EuroUnemployment

Unemployment data for European countries in 2014

BrierScore

Brier score to assess the accuracy of probabilistic predictions

MclustDA

MclustDA discriminant analysis

MclustDRsubsel

Subset selection for GMMDR directions based on BIC

MclustSSC

MclustSSC semi-supervised classification

Mclust

Model-Based Clustering

Baudry_etal_2010_JCGS_examples

Simulated Example Datasets From Baudry et al. (2010)

GvHD

GvHD Dataset

MclustDR

Dimension reduction for model-based clustering and classification

MclustBootstrap

Resampling-based Inference for Gaussian finite mixture models

adjustedRandIndex

Adjusted Rand Index

cdensE

Component Density for a Parameterized MVN Mixture Model

clPairs

Pairwise Scatter Plots showing Classification

banknote

Swiss banknotes data

cdens

Component Density for Parameterized MVN Mixture Models

classError

Classification error

bic

BIC for Parameterized Gaussian Mixture Models

cdfMclust

Cumulative Distribution and Quantiles for a univariate Gaussian mixture
distribution

chevron

Simulated minefield data

acidity

Acidity data

classPriorProbs

Estimation of class prior probabilities by EM algorithm

combiTree

Tree structure obtained from combining mixture components

coordProj

Coordinate projections of multidimensional data modeled by an MVN mixture.

covw

Weighted means, covariance and scattering matrices conditioning on a weighted matrix

crimcoords

Discriminant coordinates data projection

decomp2sigma

Convert mixture component covariances to matrix form

dmvnorm

Density of multivariate Gaussian distribution

dupPartition

Partition the data by grouping together duplicated data

clustCombi-internal

Internal clustCombi functions

dens

Density for Parameterized MVN Mixtures

diabetes

Diabetes Data (flawed)

defaultPrior

Default conjugate prior for Gaussian mixtures

combMat

Combining Matrix

densityMclust.diagnostic

Diagnostic plots for

`mclustDensity`

estimationclustCombi

Combining Gaussian Mixture Components for Clustering

cvMclustDA

MclustDA cross-validation

densityMclust

Density Estimation via Model-Based Clustering

cross

Simulated Cross Data

combiPlot

Plot Classifications Corresponding to Successive Combined Solutions

clustCombiOptim

Optimal number of clusters obtained by combining mixture components

errorBars

Draw error bars on a plot

em

EM algorithm starting with E-step for parameterized Gaussian mixture models

emControl

Set control values for use with the EM algorithm

gmmhd

Identifying Connected Components in Gaussian Finite Mixture Models for Clustering

estepE

E-step in the EM algorithm for a parameterized Gaussian mixture model.

estep

E-step for parameterized Gaussian mixture models.

hypvol

Aproximate Hypervolume for Multivariate Data

majorityVote

Majority vote

emE

EM algorithm starting with E-step for a parameterized Gaussian mixture model

entPlot

Plot Entropy Plots

hdrlevels

Highest Density Region (HDR) Levels

logLik.MclustDA

Log-Likelihood of a

`MclustDA`

objectmclust-deprecated

Deprecated Functions in mclust package

hclass

Classifications from Hierarchical Agglomeration

imputeData

Missing data imputation via the mix package

hcRandomPairs

Random hierarchical structure

mapClass

Correspondence between classifications

mclust-internal

Internal MCLUST functions

mclust-package

Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation

icl

ICL for an estimated Gaussian Mixture Model

mclustBIC

BIC for Model-Based Clustering

hcE

Model-based Hierarchical Clustering

map

Classification given Probabilities

mclustBICupdate

Update BIC values for parameterized Gaussian mixture models

hc

Model-based Agglomerative Hierarchical Clustering

mclust.options

Default values for use with MCLUST package

imputePairs

Pairwise Scatter Plots showing Missing Data Imputations

mclust1Dplot

Plot one-dimensional data modeled by an MVN mixture.

logLik.Mclust

Log-Likelihood of a

`Mclust`

objectmclust2Dplot

Plot two-dimensional data modelled by an MVN mixture

mclustVariance

Template for variance specification for parameterized Gaussian mixture models

mclustModelNames

MCLUST Model Names

meE

EM algorithm starting with M-step for a parameterized Gaussian mixture model

mclustModel

Best model based on BIC

mstep

M-step for parameterized Gaussian mixture models

mclustLoglik

Log-likelihood from a table of BIC values for parameterized Gaussian mixture models

mvnX

Univariate or Multivariate Normal Fit

plot.MclustBootstrap

Plot of bootstrap distributions for mixture model parameters

plot.MclustDA

Plotting method for MclustDA discriminant analysis

nMclustParams

Number of Estimated Parameters in Gaussian Mixture Models

mstepE

M-step for a parameterized Gaussian mixture model

me.weighted

EM algorithm with weights starting with M-step for parameterized MVN mixture models

plot.Mclust

Plotting method for Mclust model-based clustering

mvn

Univariate or Multivariate Normal Fit

me

EM algorithm starting with M-step for parameterized MVN mixture models

partuniq

Classifies Data According to Unique Observations

plot.mclustICL

ICL Plot for Model-Based Clustering

plot.MclustDR

Plotting method for dimension reduction for model-based clustering and classification

mclustICL

ICL Criterion for Model-Based Clustering

partconv

Numeric Encoding of a Partitioning

nVarParams

Number of Variance Parameters in Gaussian Mixture Models

mclustBootstrapLRT

Bootstrap Likelihood Ratio Test for the Number of Mixture Components

randomOrthogonalMatrix

Random orthogonal matrix

predict.MclustDA

Classify multivariate observations by Gaussian finite mixture modeling

plot.hc

Dendrograms for Model-based Agglomerative Hierarchical Clustering

predict.MclustDR

Classify multivariate observations on a dimension reduced subspace by Gaussian finite mixture modeling

plot.MclustSSC

Plotting method for MclustSSC semi-supervised classification

plot.clustCombi

Plot Combined Clusterings Results

sigma2decomp

Convert mixture component covariances to decomposition form.

plot.mclustBIC

BIC Plot for Model-Based Clustering

priorControl

Conjugate Prior for Gaussian Mixtures.

randProj

Random projections of multidimensional data modeled by an MVN mixture

plot.densityMclust

Plots for Mixture-Based Density Estimate

summary.MclustSSC

Summarizing semi-supervised classification model based on Gaussian finite mixtures

summary.MclustBootstrap

Summary Function for Bootstrap Inference for Gaussian Finite Mixture Models

summary.Mclust

Summarizing Gaussian Finite Mixture Model Fits

summary.mclustBIC

Summary function for model-based clustering via BIC

predict.Mclust

Cluster multivariate observations by Gaussian finite mixture modeling

sim

Simulate from Parameterized MVN Mixture Models

summary.MclustDA

Summarizing discriminant analysis based on Gaussian finite mixture modeling

summary.MclustDR

Summarizing dimension reduction method for model-based clustering and classification

predict.MclustSSC

Classification of multivariate observations by semi-supervised Gaussian finite mixtures

uncerPlot

Uncertainty Plot for Model-Based Clustering

predict.densityMclust

Density estimate of multivariate observations by Gaussian finite mixture modeling

unmap

Indicator Variables given Classification

surfacePlot

Density or uncertainty surface for bivariate mixtures

thyroid

UCI Thyroid Gland Data

simE

Simulate from a Parameterized MVN Mixture Model

wreath

Data Simulated from a 14-Component Mixture

wdbc

UCI Wisconsin Diagnostic Breast Cancer Data