AlonDS                  Alon Colon Cancer Data Set
CovE                    Generic methods for extracting covariance and
                        inverse covariance matrices from objects
                        storing the results of a Linear Discriminant
                        Analysis
DACrossVal              Cross Validation for Discriminant Analysis
                        Classification Algorithms
DMat                    DMat objects: diagonal matrices
Dlda                    Diagonal Linear Discriminant Analysis.
FrobSigAp               Approximation of Covariance Matrices from
                        q-factor models
HiDimDA-package         High Dimensional Discriminant Analysis
LeftMult                MatMult: Specialized matrix multiplication of
                        'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and
                        'SigFqInv' objects.
Mlda                    Maximum uncertainty Linear Discriminant
                        Analysis.
MldaInvE                Maximum uncertainty Linear Discriminant
                        Analysis inverse matrix estimator.
RFlda                   High-Dimensional Factor-based Linear
                        Discriminant Analysis.
SelectV                 Variable Selection for High-Dimensional
                        Supervised Classification.
ShrnkMat                ShrnkMat objects: shrunken matrix estimates of
                        a covariance
ShrnkMatInv             ShrnkMatInv objects: precision (inverse of
                        covariance) matrices associated with shrunken
                        estimates of a covariance
ShrnkSigE               Shrunken Covariance Estimate.
SigFq                   SigFq objects: covariance matrices associated
                        with a q-factor model
SigFqInv                SigFqInv objects: precision (inverse of
                        covariance) matrices associated with a q-factor
                        model
Slda                    Shrunken Linear Discriminant Analysis.
canldaRes               Class object used for storing the results of a
                        canonical high-dimensional linear discriminant
                        analysis.
clldaRes                Class object used for storing the results of a
                        high-dimensional linear discriminant analysis
                        routine (with 'ldafun' argument set to
                        "classification").
solve.DMat              Solve methods for 'DMat', 'ShrnkMat',
                        'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects.
