RPEnsemble: Random Projection Ensemble Classification
Version 0.3

Implements the methodology of "Cannings, T. I. and Samworth, R. J. (2015) Random projection ensemble classification. http://arxiv.org/abs/1504.04595". The random projection ensemble classifier is a general method for classification of high-dimensional data, based on careful combination of the results of applying an arbitrary base classifier to random projections of the feature vectors into a lower-dimensional space. The random projections are divided into non-overlapping blocks, and within each block the projection yielding the smallest estimate of the test error is selected. The random projection ensemble classifier then aggregates the results of applying the base classifier on the selected projections, with a data-driven voting threshold to determine the final assignment.

AuthorTimothy I. Cannings and Richard J. Samworth
Date of publication2016-09-01 21:06:03
MaintainerTimothy I. Cannings <t.cannings@statslab.cam.ac.uk>
LicenseGPL-3
Version0.3
URL http://arxiv.org/abs/1504.04595 http://www.statslab.cam.ac.uk/~tc325/
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("RPEnsemble")

Getting started

Package overview

Popular man pages

R: A rotation matrix
RPalpha: Choose alpha
RPChoose: Chooses projection
RPChooseSS: A sample splitting version of 'RPChoose'
RPEnsemble-package: Random Projection Ensemble Classification
RPModel: Generate pairs '(x,y)' from joint distribution
RPParallel: Chooses a projection from each block in parallel
See all...

All man pages Function index File listing

Man pages

Other.classifier: The users favourite classifier
R: A rotation matrix
RPalpha: Choose alpha
RPChoose: Chooses projection
RPChooseSS: A sample splitting version of 'RPChoose'
RPEnsembleClass: Classifies the test set using the random projection ensemble...
RPEnsemble-package: Random Projection Ensemble Classification
RPGenerate: Generates random matrices
RPModel: Generate pairs '(x,y)' from joint distribution
RPParallel: Chooses a projection from each block in parallel

Functions

Other.classifier Man page Source code
R Man page
RPChoose Man page Source code
RPChooseSS Man page Source code
RPEnsemble Man page
RPEnsemble-package Man page
RPEnsembleClass Man page Source code
RPGenerate Man page Source code
RPModel Man page Source code
RPParallel Man page Source code
RPalpha Man page Source code

Files

NAMESPACE
data
data/R.RData
R
R/RPalpha.R
R/RPGenerate.R
R/RPEnsembleClass.R
R/RPModel.R
R/RPChoose.R
R/RPParallel.R
R/RPChooseSS.R
R/Other.classifier.R
MD5
DESCRIPTION
man
man/RPChooseSS.Rd
man/RPEnsembleClass.Rd
man/RPalpha.Rd
man/RPModel.Rd
man/R.Rd
man/RPEnsemble-package.Rd
man/RPChoose.Rd
man/RPParallel.Rd
man/RPGenerate.Rd
man/Other.classifier.Rd
RPEnsemble documentation built on May 20, 2017, 12:44 a.m.

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