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 highdimensional data, based on careful combination of the results of applying an arbitrary base classifier to random projections of the feature vectors into a lowerdimensional space. The random projections are divided into nonoverlapping 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 datadriven voting threshold to determine the final assignment.
Author  Timothy I. Cannings and Richard J. Samworth 
Date of publication  20160901 21:06:03 
Maintainer  Timothy I. Cannings <t.cannings@statslab.cam.ac.uk> 
License  GPL3 
Version  0.3 
URL  http://arxiv.org/abs/1504.04595 http://www.statslab.cam.ac.uk/~tc325/ 
Package repository  View on CRAN 
Installation  Install the latest version of this package by entering the following in R:



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...  
RPEnsemblepackage: 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 
RPEnsemblepackage  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/RPEnsemblepackage.Rd  
man/RPChoose.Rd  
man/RPParallel.Rd  
man/RPGenerate.Rd  
man/Other.classifier.Rd 
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