skda: Sparse (Multicategory) Kernel Discriminant Analysis
Version 0.1

Sparse (Multicategory) Kernel Discriminant Analysis does variable selection for nonparametric classification

AuthorLen Stefanski, Yichao Wu, and Kyle White
Date of publication2013-12-13 00:34:31
MaintainerYichao Wu <wu@stat.ncsu.edu>
LicenseGPL-2
Version0.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("skda")

Popular man pages

cvskda: Cross validation for SKDA
predprob: Conditional class probability prediction for SKDA
skda: Sparse (Multicategory) Kernel Discriminant Analysis for...
See all...

All man pages Function index File listing

Man pages

cvskda: Cross validation for SKDA
predprob: Conditional class probability prediction for SKDA
skda: Sparse (Multicategory) Kernel Discriminant Analysis for...

Functions

cvskda Man page Source code
evalonefold Source code
predprob Man page Source code
skda Man page Source code

Files

src
src/skda.c
src/skda.h
src/fmin.c
src/fmin.h
NAMESPACE
demo
demo/skda.R
demo/00Index
demo/cvskda.R
R
R/skdarcode.r
MD5
DESCRIPTION
man
man/skda.Rd
man/cvskda.Rd
man/predprob.Rd
skda documentation built on May 20, 2017, 3:26 a.m.

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