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-4.7-any)HDoutliers_1.0.4.tar.gz(r-4.6-any)
HDoutliers_1.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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.

2.40 score 3 stars 1 packages 28 scripts 459 downloads 1 mentions 5 exports 111 dependencies

Last updated from:088fc14ca2. Checks:2 ERROR, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64ERROR170
source / vignettesOK198
linux-release-x86_64ERROR154
wasm-releaseOK140

Exports:dataTransgetHDmembersgetHDoutliersHDoutliersplotHDoutliers

Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDatacliclustercolorspacecowplotcpp11crosstalkDerivdigestdoBydplyrDTellipseemmeansestimabilityevaluateFactoMineRfarverfastmapflashClustFNNfontawesomeforecastFormulafracdifffsgenericsggplot2ggrepelgluegtablehighrhtmltoolshtmlwidgetsirlbaisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmclustmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmvtnormnlmenloptrnnetnumDerivotelpbkrtestpillarpkgconfigpromisespurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrmarkdownS7sassscalesscatterplot3dSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDatetinytexurcautf8vctrsviridisLitewithrxfunyamlzoo