# High Dimensional Discriminant Analysis

## Documentation for package ‘HiDimDA’ version 0.2-4

- DESCRIPTION file.

## Help Pages

A C D F H I L M P R S misc

HiDimDA-package | High Dimensional Discriminant Analysis

## -- A --

AlonDS | Alon Colon Cancer Data Set
as.matrix.DMat | DMat objects: diagonal matrices
as.matrix.ShrnkMat | ShrnkMat objects: shrunken matrix estimates of a covariance
as.matrix.ShrnkMatInv | ShrnkMatInv objects: precision (inverse of covariance) matrices associated with shrunken estimates of a covariance
as.matrix.SigFq | SigFq objects: covariance matrices associated with a q-factor model
as.matrix.SigFqInv | SigFqInv objects: precision (inverse of covariance) matrices associated with a q-factor model

## -- C --

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").
coef.canldaRes | Class object used for storing the results of a canonical high-dimensional linear discriminant analysis.
coef.clldaRes | Class object used for storing the results of a high-dimensional linear discriminant analysis routine (with 'ldafun' argument set to "classification").
CovE | Generic methods for extracting covariance and inverse covariance matrices from objects storing the results of a Linear Discriminant Analysis
CovE.canldaRes | Class object used for storing the results of a canonical high-dimensional linear discriminant analysis.
CovE.clldaRes | Class object used for storing the results of a high-dimensional linear discriminant analysis routine (with 'ldafun' argument set to "classification").
CovE.RFcanlda | Generic methods for extracting covariance and inverse covariance matrices from objects storing the results of a Linear Discriminant Analysis
CovE.RFcllda | Generic methods for extracting covariance and inverse covariance matrices from objects storing the results of a Linear Discriminant Analysis
CovE.Scanlda | Generic methods for extracting covariance and inverse covariance matrices from objects storing the results of a Linear Discriminant Analysis
CovE.Scllda | Generic methods for extracting covariance and inverse covariance matrices from objects storing the results of a Linear Discriminant Analysis

## -- D --

DACrossVal | Cross Validation for Discriminant Analysis Classification Algorithms
Dlda | Diagonal Linear Discriminant Analysis.
Dlda.data.frame | Diagonal Linear Discriminant Analysis.
Dlda.default | Diagonal Linear Discriminant Analysis.
DMat | DMat objects: diagonal matrices

## -- F --

FrobSigAp | Approximation of Covariance Matrices from q-factor models
FrobSigAp1 | Approximation of Covariance Matrices from q-factor models

## -- H --

HiDimDA | High Dimensional Discriminant Analysis

## -- I --

ICovE | Generic methods for extracting covariance and inverse covariance matrices from objects storing the results of a Linear Discriminant Analysis
ICovE.canldaRes | Class object used for storing the results of a canonical high-dimensional linear discriminant analysis.
ICovE.clldaRes | Class object used for storing the results of a high-dimensional linear discriminant analysis routine (with 'ldafun' argument set to "classification").
ICovE.RFcanlda | Generic methods for extracting covariance and inverse covariance matrices from objects storing the results of a Linear Discriminant Analysis
ICovE.RFcllda | Generic methods for extracting covariance and inverse covariance matrices from objects storing the results of a Linear Discriminant Analysis
ICovE.Scanlda | Generic methods for extracting covariance and inverse covariance matrices from objects storing the results of a Linear Discriminant Analysis
ICovE.Scllda | Generic methods for extracting covariance and inverse covariance matrices from objects storing the results of a Linear Discriminant Analysis
is.Dlda | Diagonal Linear Discriminant Analysis.
is.DMat | DMat objects: diagonal matrices
is.Mlda | Maximum uncertainty Linear Discriminant Analysis.
is.RFlda | High-Dimensional Factor-based Linear Discriminant Analysis.
is.ShrnkMat | ShrnkMat objects: shrunken matrix estimates of a covariance
is.ShrnkMatInv | ShrnkMatInv objects: precision (inverse of covariance) matrices associated with shrunken estimates of a covariance
is.SigFq | SigFq objects: covariance matrices associated with a q-factor model
is.SigFqInv | SigFqInv objects: precision (inverse of covariance) matrices associated with a q-factor model
is.Slda | Shrunken Linear Discriminant Analysis.

## -- L --

LeftMult | MatMult: Specialized matrix multiplication of 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects.
LeftMult.DMat | MatMult: Specialized matrix multiplication of 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects.
LeftMult.matrix | MatMult: Specialized matrix multiplication of 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects.
LeftMult.ShrnkMat | MatMult: Specialized matrix multiplication of 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects.
LeftMult.ShrnkMatInv | MatMult: Specialized matrix multiplication of 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects.
LeftMult.SigFq | MatMult: Specialized matrix multiplication of 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects.
LeftMult.SigFqInv | MatMult: Specialized matrix multiplication of 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects.

## -- M --

Mlda | Maximum uncertainty Linear Discriminant Analysis.
Mlda.data.frame | Maximum uncertainty Linear Discriminant Analysis.
Mlda.default | Maximum uncertainty Linear Discriminant Analysis.
MldaInvE | Maximum uncertainty Linear Discriminant Analysis inverse matrix estimator.

## -- P --

predict.canldaRes | Class object used for storing the results of a canonical high-dimensional linear discriminant analysis.
predict.clldaRes | Class object used for storing the results of a high-dimensional linear discriminant analysis routine (with 'ldafun' argument set to "classification").
print.canldaRes | Class object used for storing the results of a canonical high-dimensional linear discriminant analysis.
print.clldaRes | Class object used for storing the results of a high-dimensional linear discriminant analysis routine (with 'ldafun' argument set to "classification").
print.DMat | DMat objects: diagonal matrices
print.ShrnkMat | ShrnkMat objects: shrunken matrix estimates of a covariance
print.ShrnkMatInv | ShrnkMatInv objects: precision (inverse of covariance) matrices associated with shrunken estimates of a covariance
print.SigFq | SigFq objects: covariance matrices associated with a q-factor model
print.SigFqInv | SigFqInv objects: precision (inverse of covariance) matrices associated with a q-factor model

## -- R --

RFlda | High-Dimensional Factor-based Linear Discriminant Analysis.
RFlda.data.frame | High-Dimensional Factor-based Linear Discriminant Analysis.
RFlda.default | High-Dimensional Factor-based Linear Discriminant Analysis.
RightMult | MatMult: Specialized matrix multiplication of 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects.
RightMult.DMat | MatMult: Specialized matrix multiplication of 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects.
RightMult.matrix | MatMult: Specialized matrix multiplication of 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects.
RightMult.ShrnkMat | MatMult: Specialized matrix multiplication of 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects.
RightMult.ShrnkMatInv | MatMult: Specialized matrix multiplication of 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects.
RightMult.SigFq | MatMult: Specialized matrix multiplication of 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects.
RightMult.SigFqInv | MatMult: Specialized matrix multiplication of 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects.

## -- S --

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.
Slda.data.frame | Shrunken Linear Discriminant Analysis.
Slda.default | Shrunken Linear Discriminant Analysis.
solve.DMat | Solve methods for 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects.
solve.ShrnkMat | Solve methods for 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects.
solve.ShrnkMatInv | Solve methods for 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects.
solve.SigFq | Solve methods for 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects.
solve.SigFqInv | Solve methods for 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects.

## -- misc --

*.DMat | DMat objects: diagonal matrices
*.ShrnkMat | ShrnkMat objects: shrunken matrix estimates of a covariance
*.ShrnkMatInv | ShrnkMatInv objects: precision (inverse of covariance) matrices associated with shrunken estimates of a covariance
*.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
+.DMat | DMat objects: diagonal matrices
+.ShrnkMat | ShrnkMat objects: shrunken matrix estimates of a covariance
+.ShrnkMatInv | ShrnkMatInv objects: precision (inverse of covariance) matrices associated with shrunken estimates of a covariance
+.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
-.DMat | DMat objects: diagonal matrices
-.ShrnkMat | ShrnkMat objects: shrunken matrix estimates of a covariance
-.ShrnkMatInv | ShrnkMatInv objects: precision (inverse of covariance) matrices associated with shrunken estimates of a covariance
-.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
/.DMat | DMat objects: diagonal matrices
/.ShrnkMat | ShrnkMat objects: shrunken matrix estimates of a covariance
/.ShrnkMatInv | ShrnkMatInv objects: precision (inverse of covariance) matrices associated with shrunken estimates of a covariance
/.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