Package: outqrf 1.0.0

Tengfei Xu

outqrf: Find the Outlier by Quantile Random Forests

Provides a method to find the outlier in custom data by quantile random forests method. Introduced by Meinshausen Nicolai (2006) <doi:10.5555/1248547.1248582>. It directly calls the ranger() function of the 'ranger' package to perform data fitting and prediction. We also implement the evaluation of outlier prediction results. Compared with random forest detection of outliers, this method has higher accuracy and stability on large datasets.

Authors:Tengfei Xu [aut, cre]

outqrf_1.0.0.tar.gz
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outqrf_1.0.0.tgz(r-4.4-any)outqrf_1.0.0.tgz(r-4.3-any)
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outqrf.pdf |outqrf.html
outqrf/json (API)

# Install 'outqrf' in R:
install.packages('outqrf', repos = c('https://flystar233.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/flystar233/outqrf/issues

On CRAN:

4.48 score 2 stars 4 scripts 139 downloads 5 exports 71 dependencies

Last updated 3 months agofrom:62aa51141e. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-winOKNov 10 2024
R-4.5-linuxOKNov 10 2024
R-4.4-winOKNov 10 2024
R-4.4-macOKNov 10 2024
R-4.3-winOKNov 10 2024
R-4.3-macOKNov 10 2024

Exports:evaluateOutliersfind_indexgenerateOutliersget_quantily_valueoutqrf

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecorrplotcowplotcpp11DerivdoBydplyrfansifarverFNNFormulagenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamissRangermodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolynompurrrquantregR6rangerRColorBrewerRcppRcppEigenrlangrstatixscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr

Using outqrf

Rendered fromoutqrf.Rmdusingknitr::rmarkdownon Nov 10 2024.

Last update: 2024-09-05
Started: 2024-08-26

Readme and manuals

Help Manual

Help pageTopics
Evaluate OutliersevaluateOutliers
find the closest indexfind_index
Adds OutliersgenerateOutliers
get numberic value from stringget_quantily_value
find the right rankget_right_rank
find outliersoutqrf
Plots outqrfplot.outqrf