Other packages > Find by keyword >

oddstream  

Outlier Detection in Data Streams
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("oddstream", "0.5.0")



Attach the package and use:
library("oddstream")
Maintained by
Priyanga Dilini Talagala
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-12-16
Latest Update: 2019-12-16
Description:
We proposes a framework that provides real time support for early detection of anomalous series within a large collection of streaming time series data. By definition, anomalies are rare in comparison to a system's typical behaviour. We define an anomaly as an observation that is very unlikely given the forecast distribution. The algorithm first forecasts a boundary for the system's typical behaviour using a representative sample of the typical behaviour of the system. An approach based on extreme value theory is used for this boundary prediction process. Then a sliding window is used to test for anomalous series within the newly arrived collection of series. Feature based representation of time series is used as the input to the model. To cope with concept drift, the forecast boundary for the system's typical behaviour is updated periodically. More details regarding the algorithm can be found in Talagala, P. D., Hyndman, R. J., Smith-Miles, K., et al. (2019) .
How to cite:
Priyanga Dilini Talagala (2019). oddstream: Outlier Detection in Data Streams. R package version 0.5.0, https://cran.r-project.org/web/packages/oddstream. Accessed 16 Jul. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited oddstream R package
View oddstream citation profile
Other R packages that oddstream depends, imports, suggests or enhances
Complete documentation for oddstream
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

Rnmr1D  
Perform the Complete Processing of a Set of Proton Nuclear Magnetic Resonance Spectra
Perform the complete processing of a set of proton nuclear magnetic resonance spectra from the free ...
Download / Learn more Package Citations See dependency  
tarchetypes  
Archetypes for Targets
Function-oriented Make-like declarative pipelines for Statistics and data science are supported in t ...
Download / Learn more Package Citations See dependency  
tibble  
Simple Data Frames
Provides a 'tbl_df' class (the 'tibble') with stricter checking and better formatting than the tradi ...
Download / Learn more Package Citations See dependency  
wordnet  
WordNet Interface
An interface to WordNet using the Jawbone Java API to WordNet. WordNet (< ...
Download / Learn more Package Citations See dependency  
bbdetection  
Identification of Bull and Bear States of the Market
Implements two algorithms of detecting Bull and Bear markets in stock prices: the algorithm of Pagan ...
Download / Learn more Package Citations See dependency  
stevedata  
Steve's Toy Data for Teaching About a Variety of Methodological, Social, and Political Topics
This is a collection of various kinds of data with broad uses for teaching. My students, and academ ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

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