Package: featurefinder 1.2

featurefinder: Feature Finder

Finds 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 differs from the actual data.

Authors:Richard Davis [aut, cre]

featurefinder_1.2.tar.gz
featurefinder_1.2.zip(r-4.7)featurefinder_1.2.zip(r-4.6)featurefinder_1.2.zip(r-4.5)
featurefinder_1.2.tgz(r-4.6-any)featurefinder_1.2.tgz(r-4.5-any)
featurefinder_1.2.tar.gz(r-4.7-any)featurefinder_1.2.tar.gz(r-4.6-any)
featurefinder_1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
featurefinder/json (API)

# Install 'featurefinder' in R:
install.packages('featurefinder', repos = c('https://richard987.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.53 score 34 scripts 200 downloads 7 exports 4 dependencies

Last updated from:cf388670d8. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK113
source / vignettesOK137
linux-release-x86_64OK112
macos-release-arm64OK169
macos-oldrel-arm64OK201
windows-develOK84
windows-releaseOK73
windows-oldrelOK73
wasm-releaseOK101

Exports:findFeaturesgenerateResidualCutoffCodegenerateTreesgetVarAvparseSplitsprintResidualssaveTree

Dependencies:plyrRcpprpartrpart.plot

FeatureFinder

Richard Davis

Rendered frommy-vignette.Rmdusingknitr::rmarkdownon May 19 2026.

Last update: 2024-12-17
Started: 2024-12-17

Readme and manuals

Help Manual

Help pageTopics
datadata
findFeaturesfindFeatures
generateResidualCutoffCodegenerateResidualCutoffCode
generateTreesgenerateTrees
getVarAvgetVarAv
parseSplitsparseSplits
printResidualsprintResiduals
saveTreesaveTree