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    "print.summary.MclustBootstrap",
    "print.summary.MclustDA",
    "print.summary.MclustDR",
    "print.summary.mclustICL",
    "print.summary.MclustSSC",
    "priorControl",
    "projpar.MclustDR",
    "quantileMclust",
    "randomOrthogonalMatrix",
    "randomPairs",
    "randProj",
    "sigma2decomp",
    "sim",
    "simE",
    "simEEE",
    "simEEI",
    "simEEV",
    "simEII",
    "simEVE",
    "simEVI",
    "simEVV",
    "simV",
    "simVEE",
    "simVEI",
    "simVEV",
    "simVII",
    "simVVE",
    "simVVI",
    "simVVV",
    "softmax",
    "summary.clustCombi",
    "summary.crimcoords",
    "summary.gmmhd",
    "summary.Mclust",
    "summary.mclustBIC",
    "summary.MclustBootstrap",
    "summary.MclustDA",
    "summary.MclustDR",
    "summary.MclustDRsubsel",
    "summary.mclustICL",
    "summary.MclustSSC",
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    "summaryMclustBICn",
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    "unmap"
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        "LUR"
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      "tojson": true
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    {
      "name": "ex4.1",
      "title": "Simulated Example Datasets From Baudry et al. (2010)",
      "object": "Baudry_etal_2010_JCGS_examples",
      "class": [
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      "fields": [
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      "rows": 600,
      "table": true,
      "tojson": true
    },
    {
      "name": "ex4.2",
      "title": "Simulated Example Datasets From Baudry et al. (2010)",
      "object": "Baudry_etal_2010_JCGS_examples",
      "class": [
        "data.frame"
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      "fields": [
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        "X2"
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      "table": true,
      "tojson": true
    },
    {
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      "title": "Simulated Example Datasets From Baudry et al. (2010)",
      "object": "Baudry_etal_2010_JCGS_examples",
      "class": [
        "data.frame"
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      "table": true,
      "tojson": true
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    {
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      "title": "Simulated Example Datasets From Baudry et al. (2010)",
      "object": "Baudry_etal_2010_JCGS_examples",
      "class": [
        "data.frame"
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      "fields": [
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        "X2"
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      "rows": 800,
      "table": true,
      "tojson": true
    },
    {
      "name": "ex4.4.2",
      "title": "Simulated Example Datasets From Baudry et al. (2010)",
      "object": "Baudry_etal_2010_JCGS_examples",
      "class": [
        "data.frame"
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      "fields": [
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      "table": true,
      "tojson": true
    },
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      "table": true,
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    {
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      "rows": 9083,
      "table": true,
      "tojson": true
    },
    {
      "name": "Test1D",
      "title": "Simulated Example Datasets From Baudry et al. (2010)",
      "object": "Baudry_etal_2010_JCGS_examples",
      "class": [
        "data.frame"
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      "fields": [
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      "rows": 200,
      "table": true,
      "tojson": true
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        "DTSH"
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      "table": true,
      "tojson": true
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    {
      "name": "wdbc",
      "title": "UCI Wisconsin Diagnostic Breast Cancer Data",
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      "fields": [
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        "Diagnosis",
        "Radius_mean",
        "Texture_mean",
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        "Concavity_mean",
        "Nconcave_mean",
        "Symmetry_mean",
        "Fractaldim_mean",
        "Radius_se",
        "Texture_se",
        "Perimeter_se",
        "Area_se",
        "Smoothness_se",
        "Compactness_se",
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        "Nconcave_se",
        "Symmetry_se",
        "Fractaldim_se",
        "Radius_extreme",
        "Texture_extreme",
        "Perimeter_extreme",
        "Area_extreme",
        "Smoothness_extreme",
        "Compactness_extreme",
        "Concavity_extreme",
        "Nconcave_extreme",
        "Symmetry_extreme",
        "Fractaldim_extreme"
      ],
      "rows": 569,
      "table": true,
      "tojson": true
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    {
      "name": "wreath",
      "title": "Data Simulated from a 14-Component Mixture",
      "object": "wreath",
      "class": [
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        "array"
      ],
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        "x2"
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      "rows": 1000,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "mclust-package",
      "title": "Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation",
      "topics": [
        "mclust-package",
        "mclust"
      ]
    },
    {
      "page": "acidity",
      "title": "Acidity data",
      "topics": [
        "acidity"
      ]
    },
    {
      "page": "adjustedRandIndex",
      "title": "Adjusted Rand Index",
      "topics": [
        "adjustedRandIndex"
      ]
    },
    {
      "page": "banknote",
      "title": "Swiss banknotes data",
      "topics": [
        "banknote"
      ]
    },
    {
      "page": "Baudry_etal_2010_JCGS_examples",
      "title": "Simulated Example Datasets From Baudry et al. (2010)",
      "topics": [
        "Baudry_etal_2010_JCGS_examples",
        "ex4.1",
        "ex4.2",
        "ex4.3",
        "ex4.4.1",
        "ex4.4.2",
        "Test1D"
      ]
    },
    {
      "page": "bic",
      "title": "BIC for Parameterized Gaussian Mixture Models",
      "topics": [
        "bic"
      ]
    },
    {
      "page": "BrierScore",
      "title": "Brier score to assess the accuracy of probabilistic predictions",
      "topics": [
        "BrierScore"
      ]
    },
    {
      "page": "cdens",
      "title": "Component Density for Parameterized MVN Mixture Models",
      "topics": [
        "cdens"
      ]
    },
    {
      "page": "cdensE",
      "title": "Component Density for a Parameterized MVN Mixture Model",
      "topics": [
        "cdensE",
        "cdensEEE",
        "cdensEEI",
        "cdensEEV",
        "cdensEII",
        "cdensEVE",
        "cdensEVI",
        "cdensEVV",
        "cdensV",
        "cdensVEE",
        "cdensVEI",
        "cdensVEV",
        "cdensVII",
        "cdensVVE",
        "cdensVVI",
        "cdensVVV",
        "cdensX",
        "cdensXII",
        "cdensXXI",
        "cdensXXX"
      ]
    },
    {
      "page": "cdfMclust",
      "title": "Cumulative Distribution and Quantiles for a univariate Gaussian mixture distribution",
      "topics": [
        "cdfMclust",
        "quantileMclust"
      ]
    },
    {
      "page": "chevron",
      "title": "Simulated minefield data",
      "topics": [
        "chevron"
      ]
    },
    {
      "page": "classError",
      "title": "Classification error",
      "topics": [
        "classError"
      ]
    },
    {
      "page": "classPriorProbs",
      "title": "Estimation of class prior probabilities by EM algorithm",
      "topics": [
        "classPriorProbs"
      ]
    },
    {
      "page": "clPairs",
      "title": "Pairwise Scatter Plots showing Classification",
      "topics": [
        "clPairs",
        "clPairsLegend"
      ]
    },
    {
      "page": "clustCombi",
      "title": "Combining Gaussian Mixture Components for Clustering",
      "topics": [
        "clustCombi",
        "print.clustCombi",
        "print.summary.clustCombi",
        "summary.clustCombi"
      ]
    },
    {
      "page": "clustCombiOptim",
      "title": "Optimal number of clusters obtained by combining mixture components",
      "topics": [
        "clustCombiOptim"
      ]
    },
    {
      "page": "combiPlot",
      "title": "Plot Classifications Corresponding to Successive Combined Solutions",
      "topics": [
        "combiPlot"
      ]
    },
    {
      "page": "combiTree",
      "title": "Tree structure obtained from combining mixture components",
      "topics": [
        "combiTree"
      ]
    },
    {
      "page": "combMat",
      "title": "Combining Matrix",
      "topics": [
        "combMat"
      ]
    },
    {
      "page": "coordProj",
      "title": "Coordinate projections of multidimensional data modeled by an MVN mixture.",
      "topics": [
        "coordProj"
      ]
    },
    {
      "page": "covw",
      "title": "Weighted means, covariance and scattering matrices conditioning on a weighted matrix",
      "topics": [
        "covw"
      ]
    },
    {
      "page": "crimcoords",
      "title": "Discriminant coordinates data projection",
      "topics": [
        "crimcoords",
        "plot.crimcoords",
        "print.crimcoords",
        "print.summary.crimcoords",
        "summary.crimcoords"
      ]
    },
    {
      "page": "cross",
      "title": "Simulated Cross Data",
      "topics": [
        "cross"
      ]
    },
    {
      "page": "cvMclustDA",
      "title": "MclustDA cross-validation",
      "topics": [
        "cvMclustDA"
      ]
    },
    {
      "page": "decomp2sigma",
      "title": "Convert mixture component covariances to matrix form",
      "topics": [
        "decomp2sigma"
      ]
    },
    {
      "page": "defaultPrior",
      "title": "Default conjugate prior for Gaussian mixtures",
      "topics": [
        "defaultPrior"
      ]
    },
    {
      "page": "dens",
      "title": "Density for Parameterized MVN Mixtures",
      "topics": [
        "dens"
      ]
    },
    {
      "page": "densityMclust",
      "title": "Density Estimation via Model-Based Clustering",
      "topics": [
        "densityMclust"
      ]
    },
    {
      "page": "densityMclust.diagnostic",
      "title": "Diagnostic plots for 'mclustDensity' estimation",
      "topics": [
        "densityMclust.diagnostic"
      ]
    },
    {
      "page": "diabetes",
      "title": "Diabetes Data (flawed)",
      "topics": [
        "diabetes"
      ]
    },
    {
      "page": "dmvnorm",
      "title": "Density of multivariate Gaussian distribution",
      "topics": [
        "dmvnorm"
      ]
    },
    {
      "page": "dupPartition",
      "title": "Partition the data by grouping together duplicated data",
      "topics": [
        "dupPartition"
      ]
    },
    {
      "page": "em",
      "title": "EM algorithm starting with E-step for parameterized Gaussian mixture models",
      "topics": [
        "em"
      ]
    },
    {
      "page": "emControl",
      "title": "Set control values for use with the EM algorithm",
      "topics": [
        "emControl"
      ]
    },
    {
      "page": "emE",
      "title": "EM algorithm starting with E-step for a parameterized Gaussian mixture model",
      "topics": [
        "emE",
        "emEEE",
        "emEEI",
        "emEEV",
        "emEII",
        "emEVE",
        "emEVI",
        "emEVV",
        "emV",
        "emVEE",
        "emVEI",
        "emVEV",
        "emVII",
        "emVVE",
        "emVVI",
        "emVVV",
        "emX",
        "emXII",
        "emXXI",
        "emXXX"
      ]
    },
    {
      "page": "entPlot",
      "title": "Plot Entropy Plots",
      "topics": [
        "entPlot"
      ]
    },
    {
      "page": "errorBars",
      "title": "Draw error bars on a plot",
      "topics": [
        "errorBars"
      ]
    },
    {
      "page": "estep",
      "title": "E-step for parameterized Gaussian mixture models.",
      "topics": [
        "estep"
      ]
    },
    {
      "page": "estepE",
      "title": "E-step in the EM algorithm for a parameterized Gaussian mixture model.",
      "topics": [
        "estepE",
        "estepEEE",
        "estepEEI",
        "estepEEV",
        "estepEII",
        "estepEVE",
        "estepEVI",
        "estepEVV",
        "estepV",
        "estepVEE",
        "estepVEI",
        "estepVEV",
        "estepVII",
        "estepVVE",
        "estepVVI",
        "estepVVV"
      ]
    },
    {
      "page": "EuroUnemployment",
      "title": "Unemployment data for European countries in 2014",
      "topics": [
        "EuroUnemployment"
      ]
    },
    {
      "page": "gmmhd",
      "title": "Identifying Connected Components in Gaussian Finite Mixture Models for Clustering",
      "topics": [
        "gmmhd",
        "gmmhdClassify",
        "gmmhdClusterCores",
        "plot.gmmhd",
        "print.gmmhd",
        "print.summary.gmmhd",
        "summary.gmmhd"
      ]
    },
    {
      "page": "GvHD",
      "title": "GvHD Dataset",
      "topics": [
        "GvHD",
        "GvHD.control",
        "GvHD.pos"
      ]
    },
    {
      "page": "hc",
      "title": "Model-based Agglomerative Hierarchical Clustering",
      "topics": [
        "as.hclust.hc",
        "hc",
        "print.hc"
      ]
    },
    {
      "page": "hcE",
      "title": "Model-based Hierarchical Clustering",
      "topics": [
        "hcE",
        "hcEEE",
        "hcEII",
        "hcV",
        "hcVII",
        "hcVVV"
      ]
    },
    {
      "page": "hclass",
      "title": "Classifications from Hierarchical Agglomeration",
      "topics": [
        "hclass"
      ]
    },
    {
      "page": "hcRandomPairs",
      "title": "Random hierarchical structure",
      "topics": [
        "hcRandomPairs",
        "randomPairs"
      ]
    },
    {
      "page": "hdrlevels",
      "title": "Highest Density Region (HDR) Levels",
      "topics": [
        "hdrlevels"
      ]
    },
    {
      "page": "hypvol",
      "title": "Aproximate Hypervolume for Multivariate Data",
      "topics": [
        "hypvol"
      ]
    },
    {
      "page": "icl",
      "title": "ICL for an estimated Gaussian Mixture Model",
      "topics": [
        "icl"
      ]
    },
    {
      "page": "imputeData",
      "title": "Missing data imputation via the 'mix' package",
      "topics": [
        "imputeData",
        "matchCluster"
      ]
    },
    {
      "page": "imputePairs",
      "title": "Pairwise Scatter Plots showing Missing Data Imputations",
      "topics": [
        "imputePairs"
      ]
    },
    {
      "page": "logLik.Mclust",
      "title": "Log-Likelihood of a 'Mclust' object",
      "topics": [
        "logLik.Mclust"
      ]
    },
    {
      "page": "logLik.MclustDA",
      "title": "Log-Likelihood of a 'MclustDA' object",
      "topics": [
        "logLik.MclustDA"
      ]
    },
    {
      "page": "logsumexp",
      "title": "Log sum of exponentials",
      "topics": [
        "logsumexp"
      ]
    },
    {
      "page": "majorityVote",
      "title": "Majority vote",
      "topics": [
        "majorityVote"
      ]
    },
    {
      "page": "map",
      "title": "Classification given Probabilities",
      "topics": [
        "map"
      ]
    },
    {
      "page": "mapClass",
      "title": "Correspondence between classifications",
      "topics": [
        "mapClass"
      ]
    },
    {
      "page": "Mclust",
      "title": "Model-Based Clustering",
      "topics": [
        "Mclust",
        "print.Mclust"
      ]
    },
    {
      "page": "mclust-deprecated",
      "title": "Deprecated Functions in mclust package",
      "topics": [
        "bicEMtrain",
        "cv.MclustDA",
        "cv1EMtrain"
      ]
    },
    {
      "page": "mclust.options",
      "title": "Default values for use with MCLUST package",
      "topics": [
        "mclust.options"
      ]
    },
    {
      "page": "mclust1Dplot",
      "title": "Plot one-dimensional data modeled by an MVN mixture.",
      "topics": [
        "mclust1Dplot"
      ]
    },
    {
      "page": "mclust2Dplot",
      "title": "Plot two-dimensional data modelled by an MVN mixture",
      "topics": [
        "mclust2Dplot"
      ]
    },
    {
      "page": "mclustBIC",
      "title": "BIC for Model-Based Clustering",
      "topics": [
        "EMclust",
        "mclustBIC",
        "print.mclustBIC"
      ]
    },
    {
      "page": "mclustBICupdate",
      "title": "Update BIC values for parameterized Gaussian mixture models",
      "topics": [
        "mclustBICupdate"
      ]
    },
    {
      "page": "MclustBootstrap",
      "title": "Resampling-based Inference for Gaussian finite mixture models",
      "topics": [
        "MclustBootstrap",
        "print.MclustBootstrap"
      ]
    },
    {
      "page": "mclustBootstrapLRT",
      "title": "Bootstrap Likelihood Ratio Test for the Number of Mixture Components",
      "topics": [
        "mclustBootstrapLRT",
        "plot.mclustBootstrapLRT",
        "print.mclustBootstrapLRT"
      ]
    },
    {
      "page": "MclustDA",
      "title": "MclustDA discriminant analysis",
      "topics": [
        "MclustDA",
        "print.MclustDA"
      ]
    },
    {
      "page": "MclustDR",
      "title": "Dimension reduction for model-based clustering and classification",
      "topics": [
        "MclustDR",
        "print.MclustDR"
      ]
    },
    {
      "page": "MclustDRsubsel",
      "title": "Subset selection for GMMDR directions based on BIC",
      "topics": [
        "MclustDRrecoverdir",
        "MclustDRsubsel",
        "MclustDRsubsel1cycle",
        "MclustDRsubsel_classif",
        "MclustDRsubsel_cluster",
        "print.MclustDRsubsel",
        "summary.MclustDRsubsel"
      ]
    },
    {
      "page": "mclustICL",
      "title": "ICL Criterion for Model-Based Clustering",
      "topics": [
        "mclustICL",
        "print.mclustICL",
        "print.summary.mclustICL",
        "summary.mclustICL"
      ]
    },
    {
      "page": "mclustLoglik",
      "title": "Log-likelihood from a table of BIC values for parameterized Gaussian mixture models",
      "topics": [
        "mclustLoglik",
        "print.mclustLoglik"
      ]
    },
    {
      "page": "mclustModel",
      "title": "Best model based on BIC",
      "topics": [
        "mclustModel"
      ]
    },
    {
      "page": "mclustModelNames",
      "title": "MCLUST Model Names",
      "topics": [
        "mclustModelNames"
      ]
    },
    {
      "page": "MclustSSC",
      "title": "MclustSSC semi-supervised classification",
      "topics": [
        "MclustSSC",
        "print.MclustSSC"
      ]
    },
    {
      "page": "mclustVariance",
      "title": "Template for variance specification for parameterized Gaussian mixture models",
      "topics": [
        "mclustVariance"
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