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]

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Peer review:

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

On CRAN:

5 exports 1 stars 1.00 score 70 dependencies 4 scripts

Last updated 13 days agofrom:62aa51141e. Checks:OK: 7. Indexed: yes.

Exports:evaluateOutliersfind_indexgenerateOutliersget_quantily_valueoutqrf

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecorrplotcowplotcpp11DerivdoBydplyrfansifarverFNNgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamissRangermodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolynompurrrquantregR6rangerRColorBrewerRcppRcppEigenrlangrstatixscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr