Other packages > Find by keyword >

HDoutliers  

Leland Wilkinson's Algorithm for Detecting Multidimensional Outliers
View on CRAN: Click here


Download and install HDoutliers package within the R console
Install from CRAN:
install.packages("HDoutliers")

Install from Github:
library("remotes")
install_github("cran/HDoutliers")

Install by package version:
library("remotes")
install_version("HDoutliers", "1.0.4")



Attach the package and use:
library("HDoutliers")
Maintained by
Chris Fraley
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-06-23
Latest Update: 2022-02-11
Description:
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.
How to cite:
Chris Fraley (2016). HDoutliers: Leland Wilkinson's Algorithm for Detecting Multidimensional Outliers. R package version 1.0.4, https://cran.r-project.org/web/packages/HDoutliers. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.2 (2016-06-23 01:24), 0.5 (2016-07-18 20:10), 0.8 (2016-09-09 10:13), 0.9 (2016-11-01 22:44), 0.12 (2016-11-17 08:27), 0.14 (2016-11-28 22:13), 0.15 (2016-12-24 11:23), 1.0.1 (2020-04-01 07:40), 1.0.2 (2020-07-10 07:20), 1.0.3 (2020-09-29 09:20), 1.0 (2018-02-11 15:41)
Other packages that cited HDoutliers R package
View HDoutliers citation profile
Other R packages that HDoutliers depends, imports, suggests or enhances
Complete documentation for HDoutliers
Functions, R codes and Examples using the HDoutliers R package
Some associated functions: HDoutliers . dataTrans . dots . ex2D . getHDmembers . getHDoutliers . plotHDoutliers . 
Some associated R codes: HDoutliers.R . dataTrans.R . getHDmembers.R . getHDoutliers.R . plotHDoutliers.R .  Full HDoutliers package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

murphydiagram  
Murphy Diagrams for Forecast Comparisons
Data and code for the paper by Ehm, Gneiting, Jordan and Krueger ('Of Quantiles and Expectiles: Con ...
Download / Learn more Package Citations See dependency  
phers  
Calculate Phenotype Risk Scores
Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and ...
Download / Learn more Package Citations See dependency  
shinybusy  
Busy Indicators and Notifications for 'Shiny' Applications
Add indicators (spinner, progress bar, gif) in your 'shiny' applications to show the user that the ...
Download / Learn more Package Citations See dependency  
crplyr  
A 'dplyr' Interface for Crunch
In order to facilitate analysis of datasets hosted on the Crunch data platform ...
Download / Learn more Package Citations See dependency  
AMPLE  
Shiny Apps to Support Capacity Building on Harvest Control Rules
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA