Learn R Programming

SQDA (version 1.0)

Sparse Quadratic Discriminant Analysis

Description

Sparse Quadratic Discriminant Analysis (SQDA) can be performed. In SQDA, the covariance matrix are assumed to be block-diagonal.And, for each block, sparsity assumption is imposed on the covariance matrix. It is useful in high-dimensional setting.

Copy Link

Version

Install

install.packages('SQDA')

Monthly Downloads

10

Version

1.0

License

GPL-3

Maintainer

Jiehuan Sun

Last Published

October 1st, 2014

Functions in SQDA (1.0)

sQDA

Spase Quadratic Discriminant Analysis
SQDA-package

Sparse Quadratic Discriminant Analysis
simpleAGG3

Blockwise classifiers
sGdaCV2

Cross-validation function
sortgene

Gene sorter
cross

generate cross-validation ids
test.data

testing data
train.data

training data
sGda

Prediction function
exampledata

exampeldata