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) <https://dl.acm.org/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
outqrf_1.0.0.tar.gz(r-4.5-noble)outqrf_1.0.0.tar.gz(r-4.4-noble)
outqrf_1.0.0.tgz(r-4.4-emscripten)outqrf_1.0.0.tgz(r-4.3-emscripten)
outqrf.pdf |outqrf.html
outqrf/json (API)

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

Peer review:

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

2.70 score 4 scripts 127 downloads 5 exports 71 dependencies

Last updated 4 months agofrom:77c6c6efee. Checks:2 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKJan 09 2025
R-4.5-linuxOKJan 09 2025

Exports:evaluateOutliersfind_indexgenerateOutliersget_quantily_valueoutqrf

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecorrplotcowplotcpp11DerivdoBydplyrfansifarverFNNFormulagenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamissRangermodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolynompurrrquantregR6rangerRColorBrewerRcppRcppEigenrlangrstatixscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr

Using outqrf

Rendered fromoutqrf.Rmdusingknitr::rmarkdownon Jan 09 2025.

Last update: 2024-09-11
Started: 2024-09-11

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