Node harvest is a simple interpretable treelike estimator for highdimensional regression and classification. A few nodes are selected from an initially large ensemble of nodes, each associated with a positive weight. New observations can fall into one or several nodes and predictions are the weighted average response across all these groups. The package offers visualization of the estimator. Predictions can return the nodes a new observation fell into, along with the mean response of training observations in each node, offering a simple explanation of the prediction.
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Author  Nicolai Meinshausen 
Date of publication  20150612 23:29:00 
Maintainer  Nicolai Meinshausen <meinshausen@stat.math.ethz.ch> 
License  GPL3 
Version  0.73 
URL  http://stat.ethz.ch/~nicolai 
Package repository  View on CRAN 
Installation  Install the latest version of this package by entering the following in R:

Man pages  

BostonHousing: BostonHousing  
nodeHarvest: Node Harvest  
plot.nodeHarvest: plot method for Node Harvest objects  
predict.nodeHarvest: predict method for Node Harvest objects 
Functions  

BostonHousing  Man page 
adjustmeans  Source code 
dectobin  Source code 
drawtext  Source code 
getI  Source code 
getRULES  Source code 
getsamples  Source code 
getw  Source code 
getw2  Source code 
is.inf  Source code 
makeRules  Source code 
makepostree  Source code 
nodeHarvest  Man page Source code 
plot.nodeHarvest  Man page Source code 
predict.nodeHarvest  Man page Source code 
print.nodeHarvest  Source code 
Files  

NAMESPACE
 
data
 
data/BostonHousing.rda
 
R
 
R/print.nodeHarvest.R  
R/getw.R  
R/getsamples.R  
R/predict.nodeHarvest.R  
R/nodeHarvest.R  
R/makepostree.R  
R/plot.nodeHarvest.R  
R/getRULES.R  
R/dectobin.R  
R/getI.R  
R/adjustmeans.R  
R/makeRules.R  
R/is.inf.R  
R/drawtext.R  
MD5
 
DESCRIPTION
 
man
 
man/BostonHousing.Rd  
man/predict.nodeHarvest.Rd  
man/nodeHarvest.Rd  
man/plot.nodeHarvest.Rd 
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