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

acidity | Acidity data |

adjustedRandIndex | Adjusted Rand Index |

banknote | Swiss banknotes data |

Baudry_etal_2010_JCGS_examples | Simulated Example Datasets From Baudry et al. (2010) |

bic | BIC for Parameterized Gaussian Mixture Models |

cdens | Component Density for Parameterized MVN Mixture Models |

cdensE | Component Density for a Parameterized MVN Mixture Model |

cdfMclust | Cumulative Distribution and Quantiles for a univariate... |

chevron | Simulated minefield data |

classError | Classification error |

clPairs | Pairwise Scatter Plots showing Classification |

clustCombi | Combining Gaussian Mixture Components for Clustering |

clustCombi-internals | Internal clustCombi functions |

clustCombiOptim | Optimal number of clusters obtained by combining mixture... |

combiPlot | Plot Classifications Corresponding to Successive Combined... |

combiTree | Tree structure obtained from combining mixture components |

combMat | Combining Matrix |

coordProj | Coordinate projections of multidimensional data modeled by an... |

covw | Weighted means, covariance and scattering matrices... |

cross | Simulated Cross Data |

cvMclustDA | MclustDA cross-validation |

decomp2sigma | Convert mixture component covariances to matrix form. |

defaultPrior | Default conjugate prior for Gaussian mixtures. |

dens | Density for Parameterized MVN Mixtures |

densityMclust | Density Estimation via Model-Based Clustering |

densityMclust.diagnostic | Diagnostic plots for 'mclustDensity' estimation |

diabetes | Diabetes data |

em | EM algorithm starting with E-step for parameterized Gaussian... |

emControl | Set control values for use with the EM algorithm. |

emE | EM algorithm starting with E-step for a parameterized... |

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... |

gmmhd | Identifying Connected Components in Gaussian Finite Mixture... |

GvHD | GvHD Dataset |

hc | Model-based Hierarchical Clustering |

hcE | Model-based Hierarchical Clustering |

hclass | Classifications from Hierarchical Agglomeration |

hdrlevels | Highest Density Region (HDR) Levels |

hypvol | Aproximate Hypervolume for Multivariate Data |

icl | ICL for an estimated Gaussian Mixture Model |

imputeData | Missing data imputation via the 'mix' package |

imputePairs | Pairwise Scatter Plots showing Missing Data Imputations |

logLik.Mclust | Log-Likelihood of a 'Mclust' object |

logLik.MclustDA | Log-Likelihood of a 'MclustDA' object |

majorityVote | Majority vote |

map | Classification given Probabilities |

mapClass | Correspondence between classifications. |

Mclust | Model-Based Clustering |

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... |

MclustDA | MclustDA discriminant analysis |

mclust-deprecated | Deprecated Functions in mclust package |

MclustDR | Dimension reduction for model-based clustering and... |

MclustDRsubsel | Subset selection for GMMDR directions based on BIC. |

mclustICL | ICL Criterion for Model-Based Clustering |

mclust-internal | Internal MCLUST functions |

mclustLoglik | Log-likelihood from a table of BIC values for parameterized... |

mclustModel | Best model based on BIC |

mclustModelNames | MCLUST Model Names |

mclust.options | Default values for use with MCLUST package |

mclust-package | Gaussian Mixture Modelling for Model-Based Clustering,... |

mclustVariance | Template for variance specification for parameterized... |

me | EM algorithm starting with M-step for parameterized MVN... |

meE | EM algorithm starting with M-step for a parameterized... |

me.weighted | EM algorithm with weights starting with M-step for... |

mstep | M-step for parameterized Gaussian mixture models. |

mstepE | M-step for a parameterized Gaussian mixture model. |

mvn | Univariate or Multivariate Normal Fit |

mvnX | Univariate or Multivariate Normal Fit |

nMclustParams | Number of Estimated Parameters in Gaussian Mixture Models |

nVarParams | Number of Variance Parameters in Gaussian Mixture Models |

partconv | Numeric Encoding of a Partitioning |

partuniq | Classifies Data According to Unique Observations |

plot.clustCombi | Plot Combined Clusterings Results |

plot.densityMclust | Plots for Mixture-Based Density Estimate |

plot.Mclust | Plot Model-Based Clustering Results |

plot.mclustBIC | BIC Plot for Model-Based Clustering |

plot.MclustBoostrap | Plot of bootstrap distributions for mixture model parameters |

plot.MclustDA | Plotting method for MclustDA discriminant analysis |

plot.MclustDR | Plotting method for dimension reduction for model-based... |

plot.mclustICL | ICL Plot for Model-Based Clustering |

predict.densityMclust | Density estimate of multivariate observations by Gaussian... |

predict.Mclust | Cluster multivariate observations by Gaussian finite mixture... |

predict.MclustDA | Classify multivariate observations by Gaussian finite mixture... |

predict.MclustDR | Classify multivariate observations on a dimension reduced... |

priorControl | Conjugate Prior for Gaussian Mixtures. |

randomPairs | Random hierarchical structure |

randProj | Random projections of multidimensional data modeled by an MVN... |

sigma2decomp | Convert mixture component covariances to decomposition form. |

sim | Simulate from Parameterized MVN Mixture Models |

simE | Simulate from a Parameterized MVN Mixture Model |

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... |

summary.MclustDA | Summarizing discriminant analysis based on Gaussian finite... |

summary.MclustDR | Summarizing dimension reduction method for model-based... |

surfacePlot | Density or uncertainty surface for bivariate mixtures |

thyroid | Thyroid gland data |

uncerPlot | Uncertainty Plot for Model-Based Clustering |

unmap | Indicator Variables given Classification |

wreath | Data Simulated from a 14-Component Mixture |

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