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featurefinder (version 1.0)

Feature Finder

Description

Finds modelling features through a detailed analysis of model residuals using 'rpart' classification and regression trees. Scans the residuals of a model across subsets of the data to identify areas where the model prediction differs from the actual target variable. S. Chatterjee, A. S. Hadi (2006) .

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Version

Install

install.packages('featurefinder')

Monthly Downloads

164

Version

1.0

License

MIT + file LICENSE

Maintainer

Richard Davis

Last Published

April 6th, 2018

Functions in featurefinder (1.0)

pathterms

pathterms
runname

runname
maxFactorLevels

maxFactorLevels
tree

tree
printResiduals

printResiduals
treeGenerationMinBucket

treeGenerationMinBucket
treeSummaryResidualMagnitudeThreshold

treeSummaryResidualMagnitudeThreshold
mpgdata

mpgdata
treeSummaryResidualThreshold

treeSummaryResidualThreshold
vars

vars
treesAll

treesAll
trees

trees
saveTree

saveTree
data

data
filename

filename
doAllFactors

doAllFactors
getVarAv

getVarAv
findFeatures

findFeatures
i

i
generateTrees

generateTrees
mainfaclevels

mainfaclevels
splitlist

splitlist
futuresdata

futuresdata
dat

dat
t

t
dat0

dat0
generateResidualCutoffCode

generateResidualCutoffCode
expr

expr
names

names
parseSplits

parseSplits
fileConn

fileConn
treeSummaryMinBucket

treeSummaryMinBucket