R Observatory: Metrics for oddstream version 0.5.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

oddstream

0.5.0

Outlier Detection in Data Streams

0packages depend

2.6Kdownloads / year

–test coverage

11/13checks pass

Overview

About

Maintained by Priyanga Dilini TalagalaFirst published 2019-12-161 releasesCRAN page ↗GitHub ↗

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) doi:10.1080/10618600.2019.1617160.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("oddstream", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("pridiltal/oddstream")

Development version from pridiltal/oddstream. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-oddstream

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-oddstream

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-oddstream

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

2NOTE11OK

Failing flavors

NOTE r-devel-linux-x86_64-fedora-clang
NOTE r-devel-linux-x86_64-fedora-gcc

Slowest check: 2.7 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

83%

Documentation · exports

17

Dependencies · direct

Check history

NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 60%
Documented parameters: 90%
Return-value docs: 100%
References docs: 50%

Downloads

2.6K

CRAN downloads in the past year

Rank #14,569 · ~7/day · ~215/mo

Releases R versions

Daily download trend is not available in this view yet.

22130 days

71690 days

2.6K1 year

Compare downloads with other packages →

Also on193 r2u18 autocran

Repository

GitHub ↗ pridiltal/oddstream

64Stars

8Forks

2Open issues

0Open PRs

0Releases

146Commits

1Contributors

146 commits · Last activity 2020-04-02

Stars over time

2024-11-04 · 642026-07-07 · 64

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/pridiltal/oddstream on 2026-08-09.

Continuous integration (1)

Travis CI

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

15 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.4.0

Imports (17)

pcaPPstatsggplot2 ksMASSRcppRollmgcvmoments RColorBrewer mvtsplot tibble reshape dplyrgraphicstidyr kernlab magrittr

LinkingTo (0)

none

Suggests (2)

testthat tidyverse

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)

Maintainer (1)

Priyanga Dilini Talagala

Author, Maintainer

Authors (1)

Priyanga Dilini Talagala

Author, Maintainer

Other (2)

Rob J. Hyndman

Thesis advisor

Kate Smith-Miles

Thesis advisor

Package Timeline

1 release. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
0.5.0Latest
2026-03-10 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2019-12-16
Total releases: 1 / 7 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.4.0
Bundled data: 2.3 MB / 2 files
Download size: 2.5 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Anomaly Detection

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("oddstream")

Format

Talagala, P. D., Hyndman, R. J., & Smith-Miles, K. (2019). oddstream: Outlier Detection in Data Streams (Version 0.5.0) [Computer software]. https://doi.org/10.32614/CRAN.package.oddstream

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for oddstream version 0.5.0 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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