superMDS: Implements the supervised multidimensional scaling (superMDS) proposal of Witten and Tibshirani (2011)
Version 1.0.2

Witten and Tibshirani (2011) Supervised multidimensional scaling for visualization, classification, and bipartite ranking. Computational Statistics and Data Analysis 55(1): 789-801.

AuthorDaniela M. Witten
Date of publication2013-12-02 18:29:00
MaintainerDaniela Witten <dwitten@u.washington.edu>
LicenseGPL-2
Version1.0.2
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("superMDS")

Getting started

Package overview

Popular man pages

superMDS-package: Supervised multidimensional scaling for visualization,...
TestSuperMDS: Given the configuration points of a set of training...
TrainSuperMDS: Find a set of configuration points that agree with a...
See all...

All man pages Function index File listing

Man pages

superMDS-package: Supervised multidimensional scaling for visualization,...
TestSuperMDS: Given the configuration points of a set of training...
TrainSuperMDS: Find a set of configuration points that agree with a...

Functions

TestSuperMDS Man page Source code
TestSuperMDSSingleObs Source code
TrainSuperMDS Man page Source code
TrainSuperMDSOnce Source code
distmat Source code
evaltestcrit Source code
semisupercritmultidim Source code
superMDS Man page
superMDS-package Man page

Files

NAMESPACE
R
R/Functions.R
R/TrainSuperMDS.R
R/TestSuperMDS.R
MD5
DESCRIPTION
man
man/TestSuperMDS.Rd
man/TrainSuperMDS.Rd
man/superMDS-package.Rd
superMDS documentation built on May 19, 2017, 8:44 p.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.