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HiDimDA (version 0.2-7)

High Dimensional Discriminant Analysis

Description

Performs linear discriminant analysis in high dimensional problems based on reliable covariance estimators for problems with (many) more variables than observations. Includes routines for classifier training, prediction, cross-validation and variable selection.

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Version

Install

install.packages('HiDimDA')

Monthly Downloads

279

Version

0.2-7

License

GPL (>= 3)

Maintainer

Pedro Silva

Last Published

October 6th, 2024

Functions in HiDimDA (0.2-7)

SigFq

SigFq objects: covariance matrices associated with a q-factor model
ShrnkSigE

Shrunken Covariance Estimate.
canldaRes

Class object used for storing the results of a canonical high-dimensional linear discriminant analysis.
Slda

Shrunken Linear Discriminant Analysis.
SigFqInv

SigFqInv objects: precision (inverse of covariance) matrices associated with a q-factor model
clldaRes

Class object used for storing the results of a high-dimensional linear discriminant analysis routine (with ‘ldafun’ argument set to “classification”).
solve

Solve methods for ‘DMat’, ‘ShrnkMat’, ‘ShrnkMatInv’, ‘SigFq’ and ‘SigFqInv’ objects.
AlonDS

Alon Colon Cancer Data Set
Dlda

Diagonal Linear Discriminant Analysis.
DACrossVal

Cross Validation for Discriminant Analysis Classification Algorithms
MatMult

MatMult: Specialized matrix multiplication of ‘DMat’, ‘ShrnkMat’, ‘ShrnkMatInv’, ‘SigFq’ and ‘SigFqInv’ objects.
CovE

Generic methods for extracting covariance and inverse covariance matrices from objects storing the results of a Linear Discriminant Analysis
FrobSigAp

Approximation of Covariance Matrices from q-factor models
DMat

DMat objects: diagonal matrices
Mlda

Maximum uncertainty Linear Discriminant Analysis.
ShrnkMatInv

ShrnkMatInv objects: precision (inverse of covariance) matrices associated with shrunken estimates of a covariance
SelectV

Variable Selection for High-Dimensional Supervised Classification.
RFlda

High-Dimensional Factor-based Linear Discriminant Analysis.
MldaInvE

Maximum uncertainty Linear Discriminant Analysis inverse matrix estimator.
HiDimDA-internal

Internal HiDimDA Functions
HiDimDA-package

High Dimensional Discriminant Analysis
ShrnkMat

ShrnkMat objects: shrunken matrix estimates of a covariance