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 22 Dec. 2024.
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
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

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