Other packages > Find by keyword >

ldbod  

Local Density-Based Outlier Detection
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ldbod", "0.1.2")



Attach the package and use:
library("ldbod")
Maintained by
Kristopher Williams
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-09-14
Latest Update: 2017-05-26
Description:
Flexible procedures to compute local density-based outlier scores for ranking outliers. Both exact and approximate nearest neighbor search can be implemented, while also accommodating multiple neighborhood sizes and four different local density-based methods. It allows for referencing a random subsample of the input data or a user specified reference data set to compute outlier scores against, so both unsupervised and semi-supervised outlier detection can be implemented.
How to cite:
Kristopher Williams (2016). ldbod: Local Density-Based Outlier Detection. R package version 0.1.2, https://cran.r-project.org/web/packages/ldbod. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2016-09-14 18:51), 0.1.1 (2016-12-22 09:04)
Other packages that cited ldbod R package
View ldbod citation profile
Other R packages that ldbod depends, imports, suggests or enhances
Complete documentation for ldbod
Functions, R codes and Examples using the ldbod R package
Some associated functions: ldbod . ldbod.ref . 
Some associated R codes: ldbod.R . ldbod.ref.R .  Full ldbod 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

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  
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  
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  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)

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