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e1071::bclust Bagged Clustering
e1071::bootstrap.lca Bootstrap Samples of LCA Results
e1071::countpattern Count Binary Patterns
e1071::hamming.distance Hamming Distances of Vectors
e1071::ica Independent Component Analysis
e1071::interpolate Interpolate Values of Array
e1071::lca Latent Class Analysis (LCA)
mclust::MclustDA MclustDA discriminant analysis
mclust::MclustDR Dimension reduction for model-based clustering and classification
mclust::MclustDRsubsel Subset selection for GMMDR directions based on BIC
mclust::covw Weighted means, covariance and scattering matrices conditioning on a weighted matrix
mclust::crimcoords Discriminant coordinates data projection
mclust::cvMclustDA MclustDA cross-validation
mclust::logLik.Mclust Log-Likelihood of a 'Mclust' object
mclust::logLik.MclustDA Log-Likelihood of a 'MclustDA' object
mclust::plot.MclustDA Plotting method for MclustDA discriminant analysis
mclust::plot.MclustDR Plotting method for dimension reduction for model-based clustering and classification
mclust::plot.MclustSSC Plotting method for MclustSSC semi-supervised classification
mclust::predict.Mclust Cluster multivariate observations by Gaussian finite mixture modeling
mclust::predict.MclustDA Classify multivariate observations by Gaussian finite mixture modeling
mclust::predict.MclustDR Classify multivariate observations on a dimension reduced subspace by Gaussian finite mixture modeling
mclust::predict.densityMclust Density estimate of multivariate observations by Gaussian finite mixture modeling
mclust::summary.MclustDA Summarizing discriminant analysis based on Gaussian finite mixture modeling
mvtnorm::dmvnorm Multivariate Normal Density and Random Deviates
mvtnorm::dmvt The Multivariate t Distribution
numDeriv::genD Generate Bates and Watts D Matrix
numDeriv::grad Numerical Gradient of a Function
numDeriv::hessian Calculate Hessian Matrix
numDeriv::jacobian Gradient of a Vector Valued Function
s20x::summaryStats Summary Statistics
survey::svyfactanal Factor analysis in complex surveys (experimental).
survey::svyprcomp Sampling-weighted principal component analysis
boot::corr Correlation Coefficient
boot::cum3 Calculate Third Order Cumulants
graphics::stars Star (Spider/Radar) Plots and Segment Diagrams
graphics::symbols Draw Symbols (Circles, Squares, Stars, Thermometers, Boxplots)
MASS::corresp Simple Correspondence Analysis
MASS::cov.rob Resistant Estimation of Multivariate Location and Scatter
MASS::cov.trob Covariance Estimation for Multivariate t Distribution
MASS::isoMDS Kruskal's Non-metric Multidimensional Scaling
MASS::lda Linear Discriminant Analysis
MASS::mca Multiple Correspondence Analysis
MASS::mvrnorm Simulate from a Multivariate Normal Distribution
MASS::pairs.lda Produce Pairwise Scatterplots from an 'lda' Fit
MASS::plot.lda Plot Method for Class 'lda'
MASS::plot.mca Plot Method for Objects of Class 'mca'
MASS::predict.lda Classify Multivariate Observations by Linear Discrimination
MASS::predict.mca Predict Method for Class 'mca'
MASS::predict.qda Classify from Quadratic Discriminant Analysis
MASS::qda Quadratic Discriminant Analysis
MASS::sammon Sammon's Non-Linear Mapping
stats::anova.mlm Comparisons between Multivariate Linear Models
stats::as.hclust Convert Objects to Class hclust
stats::biplot.princomp Biplot for Principal Components
stats::biplot Biplot of Multivariate Data
stats::cancor Canonical Correlations
stats::cmdscale Classical (Metric) Multidimensional Scaling
stats::cophenetic Cophenetic Distances for a Hierarchical Clustering
stats::var Correlation, Variance and Covariance (Matrices)
stats::cov.wt Weighted Covariance Matrices
stats::cutree Cut a Tree into Groups of Data
stats::dendrogram General Tree Structures
stats::dist Distance Matrix Computation
stats::factanal Factor Analysis
stats::hclust Hierarchical Clustering
stats::kmeans K-Means Clustering
stats::loadings Print Loadings in Factor Analysis
stats::mahalanobis Mahalanobis Distance
stats::mauchly.test Mauchly's Test of Sphericity
stats::prcomp Principal Components Analysis
stats::princomp Principal Components Analysis
stats::rWishart Random Wishart Distributed Matrices
stats::screeplot Screeplots
stats::SSD SSD Matrix and Estimated Variance Matrix in Multivariate Models
stats::summary.princomp Summary method for Principal Components Analysis
stats::promax Rotation Methods for Factor Analysis