Package: HDoutliers 1.0.4

Chris Fraley

HDoutliers: Leland Wilkinson's Algorithm for Detecting Multidimensional Outliers

An implementation of an algorithm for outlier detection that can handle a) data with a mixed categorical and continuous variables, b) many columns of data, c) many rows of data, d) outliers that mask other outliers, and e) both unidimensional and multidimensional datasets. Unlike ad hoc methods found in many machine learning papers, HDoutliers is based on a distributional model that uses probabilities to determine outliers.

Authors:Chris Fraley [aut, cre], Leland Wilkinson [ctb]

HDoutliers_1.0.4.tar.gz
HDoutliers_1.0.4.tar.gz(r-4.5-noble)HDoutliers_1.0.4.tar.gz(r-4.4-noble)
HDoutliers_1.0.4.tgz(r-4.4-emscripten)HDoutliers_1.0.4.tgz(r-4.3-emscripten)
HDoutliers.pdf |HDoutliers.html✨
HDoutliers/json (API)

# Install 'HDoutliers' in R:
install.packages('HDoutliers', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • dots - One dimensional dots dataset - outlier detection example
  • ex2D - Two dimensional dataset - outlier detection example

On CRAN:

Conda:

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

1.95 score 3 stars 1 packages 458 downloads 1 mentions 5 exports 104 dependencies

Last updated 3 years agofrom:088fc14ca2. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 11 2025
R-4.5-linuxOKMar 11 2025
R-4.4-linuxOKMar 11 2025

Exports:dataTransgetHDmembersgetHDoutliersHDoutliersplotHDoutliers

Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDatacliclustercolorspacecowplotcpp11crosstalkDerivdigestdoBydplyrDTellipseemmeansestimabilityevaluateFactoMineRfansifarverfastmapflashClustFNNfontawesomeFormulafsgenericsggplot2ggrepelgluegtablehighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrMASSMatrixMatrixModelsmclustmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpromisespurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangrmarkdownsassscalesscatterplot3dSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml