| 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 |
| cdensEVE |
Component Density for a Parameterized MVN Mixture Model |
| cdensEVI |
Component Density for a Parameterized MVN Mixture Model |
| cdensEVV |
Component Density for a Parameterized MVN Mixture Model |
| cdensV |
Component Density for a Parameterized MVN Mixture Model |
| cdensVEE |
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 |
| cdensVVE |
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 |
| cdensX |
Component Density for a Parameterized MVN Mixture Model |
| cdensXII |
Component Density for a Parameterized MVN Mixture Model |
| cdensXXI |
Component Density for a Parameterized MVN Mixture Model |
| cdensXXX |
Component Density for a Parameterized MVN Mixture Model |
| cdfMclust |
Cumulative Distribution and Quantiles for a univariate Gaussian mixture distribution |
| chevron |
Simulated minefield data |
| classError |
Classification error |
| classPriorProbs |
Estimation of class prior probabilities by EM algorithm |
| clPairs |
Pairwise Scatter Plots showing Classification |
| clPairsLegend |
Pairwise Scatter Plots showing Classification |
| clustCombi |
Combining Gaussian Mixture Components for Clustering |
| clustCombiOptim |
Optimal number of clusters obtained by combining mixture components |
| combiPlot |
Plot Classifications Corresponding to Successive Combined Solutions |
| combiTree |
Tree structure obtained from combining mixture components |
| combMat |
Combining Matrix |
| 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 |
| cross |
Simulated Cross Data |
| cv.MclustDA |
Deprecated Functions in mclust package |
| cv1EMtrain |
Deprecated Functions in mclust package |
| cvMclustDA |
MclustDA cross-validation |
| em |
EM algorithm starting with E-step for parameterized Gaussian mixture models |
| EMclust |
BIC for Model-Based Clustering |
| emControl |
Set control values for use with the EM algorithm |
| emE |
EM algorithm starting with E-step for a parameterized Gaussian mixture model |
| emEEE |
EM algorithm starting with E-step for a parameterized Gaussian mixture model |
| emEEI |
EM algorithm starting with E-step for a parameterized Gaussian mixture model |
| emEEV |
EM algorithm starting with E-step for a parameterized Gaussian mixture model |
| emEII |
EM algorithm starting with E-step for a parameterized Gaussian mixture model |
| emEVE |
EM algorithm starting with E-step for a parameterized Gaussian mixture model |
| emEVI |
EM algorithm starting with E-step for a parameterized Gaussian mixture model |
| emEVV |
EM algorithm starting with E-step for a parameterized Gaussian mixture model |
| emV |
EM algorithm starting with E-step for a parameterized Gaussian mixture model |
| emVEE |
EM algorithm starting with E-step for a parameterized Gaussian mixture model |
| emVEI |
EM algorithm starting with E-step for a parameterized Gaussian mixture model |
| emVEV |
EM algorithm starting with E-step for a parameterized Gaussian mixture model |
| emVII |
EM algorithm starting with E-step for a parameterized Gaussian mixture model |
| emVVE |
EM algorithm starting with E-step for a parameterized Gaussian mixture model |
| emVVI |
EM algorithm starting with E-step for a parameterized Gaussian mixture model |
| emVVV |
EM algorithm starting with E-step for a parameterized Gaussian mixture model |
| emX |
EM algorithm starting with E-step for a parameterized Gaussian mixture model |
| emXII |
EM algorithm starting with E-step for a parameterized Gaussian mixture model |
| emXXI |
EM algorithm starting with E-step for a parameterized Gaussian mixture model |
| emXXX |
EM algorithm starting with E-step for a parameterized Gaussian mixture model |
| entPlot |
Plot Entropy Plots |
| errorBars |
Draw error bars on a plot |
| estep |
E-step for parameterized Gaussian mixture models. |
| estepE |
E-step in the EM algorithm for a parameterized Gaussian mixture model. |
| estepEEE |
E-step in the EM algorithm for a parameterized Gaussian mixture model. |
| estepEEI |
E-step in the EM algorithm for a parameterized Gaussian mixture model. |
| estepEEV |
E-step in the EM algorithm for a parameterized Gaussian mixture model. |
| estepEII |
E-step in the EM algorithm for a parameterized Gaussian mixture model. |
| estepEVE |
E-step in the EM algorithm for a parameterized Gaussian mixture model. |
| estepEVI |
E-step in the EM algorithm for a parameterized Gaussian mixture model. |
| estepEVV |
E-step in the EM algorithm for a parameterized Gaussian mixture model. |
| estepV |
E-step in the EM algorithm for a parameterized Gaussian mixture model. |
| estepVEE |
E-step in the EM algorithm for a parameterized Gaussian mixture model. |
| estepVEI |
E-step in the EM algorithm for a parameterized Gaussian mixture model. |
| estepVEV |
E-step in the EM algorithm for a parameterized Gaussian mixture model. |
| estepVII |
E-step in the EM algorithm for a parameterized Gaussian mixture model. |
| estepVVE |
E-step in the EM algorithm for a parameterized Gaussian mixture model. |
| estepVVI |
E-step in the EM algorithm for a parameterized Gaussian mixture model. |
| estepVVV |
E-step in the EM algorithm for a parameterized Gaussian mixture model. |
| EuroUnemployment |
Unemployment data for European countries in 2014 |
| ex4.1 |
Simulated Example Datasets From Baudry et al. (2010) |
| ex4.2 |
Simulated Example Datasets From Baudry et al. (2010) |
| ex4.3 |
Simulated Example Datasets From Baudry et al. (2010) |
| ex4.4.1 |
Simulated Example Datasets From Baudry et al. (2010) |
| ex4.4.2 |
Simulated Example Datasets From Baudry et al. (2010) |
| majorityVote |
Majority vote |
| map |
Classification given Probabilities |
| mapClass |
Correspondence between classifications |
| matchCluster |
Missing data imputation via the 'mix' package |
| Mclust |
Model-Based Clustering |
| mclust |
Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation |
| mclust.options |
Default values for use with MCLUST package |
| mclust1Dplot |
Plot one-dimensional data modeled by an MVN mixture. |
| mclust2Dplot |
Plot two-dimensional data modelled by an MVN mixture |
| mclustBIC |
BIC for Model-Based Clustering |
| mclustBICupdate |
Update BIC values for parameterized Gaussian mixture models |
| MclustBootstrap |
Resampling-based Inference for Gaussian finite mixture models |
| mclustBootstrapLRT |
Bootstrap Likelihood Ratio Test for the Number of Mixture Components |
| MclustDA |
MclustDA discriminant analysis |
| MclustDR |
Dimension reduction for model-based clustering and classification |
| MclustDRrecoverdir |
Subset selection for GMMDR directions based on BIC |
| MclustDRsubsel |
Subset selection for GMMDR directions based on BIC |
| MclustDRsubsel1cycle |
Subset selection for GMMDR directions based on BIC |
| MclustDRsubsel_classif |
Subset selection for GMMDR directions based on BIC |
| MclustDRsubsel_cluster |
Subset selection for GMMDR directions based on BIC |
| mclustICL |
ICL Criterion for Model-Based Clustering |
| mclustLoglik |
Log-likelihood from a table of BIC values for parameterized Gaussian mixture models |
| mclustModel |
Best model based on BIC |
| mclustModelNames |
MCLUST Model Names |
| MclustSSC |
MclustSSC semi-supervised classification |
| mclustVariance |
Template for variance specification for parameterized Gaussian mixture models |
| me |
EM algorithm starting with M-step for parameterized MVN mixture models |
| me.weighted |
EM algorithm with weights starting with M-step for parameterized MVN mixture models |
| meE |
EM algorithm starting with M-step for a parameterized Gaussian mixture model |
| meEEE |
EM algorithm starting with M-step for a parameterized Gaussian mixture model |
| meEEI |
EM algorithm starting with M-step for a parameterized Gaussian mixture model |
| meEEV |
EM algorithm starting with M-step for a parameterized Gaussian mixture model |
| meEII |
EM algorithm starting with M-step for a parameterized Gaussian mixture model |
| meEVE |
EM algorithm starting with M-step for a parameterized Gaussian mixture model |
| meEVI |
EM algorithm starting with M-step for a parameterized Gaussian mixture model |
| meEVV |
EM algorithm starting with M-step for a parameterized Gaussian mixture model |
| meV |
EM algorithm starting with M-step for a parameterized Gaussian mixture model |
| meVEE |
EM algorithm starting with M-step for a parameterized Gaussian mixture model |
| meVEI |
EM algorithm starting with M-step for a parameterized Gaussian mixture model |
| meVEV |
EM algorithm starting with M-step for a parameterized Gaussian mixture model |
| meVII |
EM algorithm starting with M-step for a parameterized Gaussian mixture model |
| meVVE |
EM algorithm starting with M-step for a parameterized Gaussian mixture model |
| meVVI |
EM algorithm starting with M-step for a parameterized Gaussian mixture model |
| meVVV |
EM algorithm starting with M-step for a parameterized Gaussian mixture model |
| meX |
EM algorithm starting with M-step for a parameterized Gaussian mixture model |
| meXII |
EM algorithm starting with M-step for a parameterized Gaussian mixture model |
| meXXI |
EM algorithm starting with M-step for a parameterized Gaussian mixture model |
| meXXX |
EM algorithm starting with M-step for a parameterized Gaussian mixture model |
| mstep |
M-step for parameterized Gaussian mixture models |
| mstepE |
M-step for a parameterized Gaussian mixture model |
| mstepEEE |
M-step for a parameterized Gaussian mixture model |
| mstepEEI |
M-step for a parameterized Gaussian mixture model |
| mstepEEV |
M-step for a parameterized Gaussian mixture model |
| mstepEII |
M-step for a parameterized Gaussian mixture model |
| mstepEVE |
M-step for a parameterized Gaussian mixture model |
| mstepEVI |
M-step for a parameterized Gaussian mixture model |
| mstepEVV |
M-step for a parameterized Gaussian mixture model |
| mstepV |
M-step for a parameterized Gaussian mixture model |
| mstepVEE |
M-step for a parameterized Gaussian mixture model |
| mstepVEI |
M-step for a parameterized Gaussian mixture model |
| mstepVEV |
M-step for a parameterized Gaussian mixture model |
| mstepVII |
M-step for a parameterized Gaussian mixture model |
| mstepVVE |
M-step for a parameterized Gaussian mixture model |
| mstepVVI |
M-step for a parameterized Gaussian mixture model |
| mstepVVV |
M-step for a parameterized Gaussian mixture model |
| mvn |
Univariate or Multivariate Normal Fit |
| mvnX |
Univariate or Multivariate Normal Fit |
| mvnXII |
Univariate or Multivariate Normal Fit |
| mvnXXI |
Univariate or Multivariate Normal Fit |
| mvnXXX |
Univariate or Multivariate Normal Fit |
| 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 |
| simEVE |
Simulate from a Parameterized MVN Mixture Model |
| simEVI |
Simulate from a Parameterized MVN Mixture Model |
| simEVV |
Simulate from a Parameterized MVN Mixture Model |
| simV |
Simulate from a Parameterized MVN Mixture Model |
| simVEE |
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 |
| simVVE |
Simulate from a Parameterized MVN Mixture Model |
| simVVI |
Simulate from a Parameterized MVN Mixture Model |
| simVVV |
Simulate from a Parameterized MVN Mixture Model |
| summary.clustCombi |
Combining Gaussian Mixture Components for Clustering |
| summary.gmmhd |
Identifying Connected Components in Gaussian Finite Mixture Models for Clustering |
| summary.Mclust |
Summarizing Gaussian Finite Mixture Model Fits |
| summary.mclustBIC |
Summary function for model-based clustering via BIC |
| summary.MclustBootstrap |
Summary Function for Bootstrap Inference for Gaussian Finite 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 |
| summary.MclustDRsubsel |
Subset selection for GMMDR directions based on BIC |
| summary.mclustICL |
ICL Criterion for Model-Based Clustering |
| summary.MclustSSC |
Summarizing semi-supervised classification model based on Gaussian finite mixtures |
| summaryMclustBIC |
Summary function for model-based clustering via BIC |
| summaryMclustBICn |
Summary function for model-based clustering via BIC |
| surfacePlot |
Density or uncertainty surface for bivariate mixtures |