MGSDA: Multi-Group Sparse Discriminant Analysis
Version 1.4

Implements Multi-Group Sparse Discriminant Analysis proposal of I.Gaynanova, J.Booth and M.Wells (2015), Simultaneous sparse estimation of canonical vectors in the p>>N setting, JASA, to appear,[DOI:10.1080/01621459.2015.1034318].

AuthorIrina Gaynanova
Date of publication2016-06-08 00:33:23
MaintainerIrina Gaynanova <irinag@stat.tamu.edu>
LicenseGPL (>= 2)
Version1.4
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("MGSDA")

Getting started

Package overview

Popular man pages

classifyV: Classification for MGSDA
cv.dLDA: Cross-validation for MGSDA
dLDA: Estimate the matrix of discriminant vectors using L_1 penalty...
MGSDA-package: MGSDA: Multi-Group Sparse Discriminant Analysis
See all...

All man pages Function index File listing

Man pages

classifyV: Classification for MGSDA
cv.dLDA: Cross-validation for MGSDA
dLDA: Estimate the matrix of discriminant vectors using L_1 penalty...
MGSDA-package: MGSDA: Multi-Group Sparse Discriminant Analysis

Functions

MGSDA Man page
MGSDA-package Man page
classifyV Man page Source code
createY Source code
cv.dLDA Man page Source code
dLDA Man page Source code
solveMyLassoF_c Source code
solveMyLasso_c Source code

Files

src
src/solveVcoordf2st.c
NAMESPACE
R
R/SolveMyLassoF.R
R/directFLDA-internal.R
R/cv.dLDA.R
R/dLDA.R
R/classifyV.R
R/SolveMyLasso.R
R/createY.R
MD5
DESCRIPTION
man
man/dLDA.Rd
man/MGSDA-package.Rd
man/cv.dLDA.Rd
man/classifyV.Rd
MGSDA documentation built on May 19, 2017, 7:20 a.m.

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