High Dimensional Discriminant Analysis

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Documentation for package ‘HiDimDA’ version 0.2-6

• DESCRIPTION file.

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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