R Observatory: Metrics for anomalize version 0.3.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

anomalize

0.3.0

Tidy Anomaly Detection

2packages depend

40.3Kdownloads / year

79.0%test coverage

13/13checks pass

Overview

About

Maintained by Matt DanchoFirst published 2018-04-068 releasesCRAN page ↗GitHub ↗

The 'anomalize' package enables a "tidy" workflow for detecting anomalies in data. The main functions are time_decompose(), anomalize(), and time_recompose(). When combined, it's quite simple to decompose time series, detect anomalies, and create bands separating the "normal" data from the anomalous data at scale (i.e. for multiple time series). Time series decomposition is used to remove trend and seasonal components via the time_decompose() function and methods include seasonal decomposition of time series by Loess ("stl") and seasonal decomposition by piecewise medians ("twitter"). The anomalize() function implements two methods for anomaly detection of residuals including using an inner quartile range ("iqr") and generalized extreme studentized deviation ("gesd"). These methods are based on those used in the 'forecast' package and the Twitter 'AnomalyDetection' package. Refer to the associated functions for specific references for these methods.

Install

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

install.packages("anomalize", 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("business-science/anomalize")

Development version from business-science/anomalize. 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-anomalize

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-anomalize

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-anomalize

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

Health

CRAN checks

13OK

Slowest check: 4.2 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.25

79.0%

Coverage · measured lines

100%

Documentation · exports

10

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 461 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 75%
Documented parameters: 100%
Return-value docs: 92%
References docs: 29%

Downloads

40.3K

CRAN downloads in the past year

Rank #3,802 · ~110/day · ~3.4K/mo

Releases R versions

Daily download trend is not available in this view yet.

66830 days

2.4K90 days

40.3K1 year

Compare downloads with other packages →

Also on199 r2u57 autocran104 c2d4u

Repository

GitHub ↗ business-science/anomalize

338Stars

61Forks

35Open issues

3Open PRs

0Releases

125Commits

7Contributors

detect-anomaliesdecompositioniqrtime-seriesanomaly-detectionanomalyr-package

125 commits · Last activity 2023-12-28 · -0.3% stars, 30d

Stars over time

2025-06-22 · 3372026-07-26 · 338

Repository practices

Upstream repositoryBeta

7 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/business-science/anomalize on 2026-08-16.

Continuous integration (1)

GitHub Actions

Reproducibility and dev environment (1)

data-raw/

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Docs source (1)

README.Rmd

Show all practices

Lint, format, editor (1)

RStudio project

Coverage (1)

Codecov

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

Dependencies

Declared dependencies

19 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.0.0

Imports (10)

dplyr glue timetk sweep tibbletime purrr rlang tibble tidyr ggplot2

LinkingTo (0)

none

Suggests (9)

tidyverse tidyquant stringr testthat covr knitr rmarkdown devtools roxygen2

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

2direct

0indirect

pathviewr whippr

Code & Tests

People & History

People (2)

Maintainer (1)

Matt Dancho

Author, Maintainer

Authors (2)

Matt Dancho

Author, Maintainer

Davis Vaughan

Author

Package Timeline

8 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
0.3.0Latest
2023-10-31 · current release · diff ↗
0.2.4
2023-09-26 · diff ↗
unarchivedReturned to CRAN
2023-09-25
R
R 4.3.0 released · 2023-04-21
archivedRemoved from CRAN
2023-03-23
requires archived package 'sweep'
0.2.3
2023-02-09 · diff ↗
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
0.2.2
2020-10-20 · diff ↗
0.2.1
2020-06-19 · diff ↗
unarchivedReturned to CRAN
2020-06-19
archivedRemoved from CRAN
2020-06-15
check problems were not corrected in time
R
R 4.0.0 released · 2020-04-24

Show 6 earlier events

0.2.0
2019-09-21 · diff ↗
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
0.1.1
2018-04-17 · diff ↗
0.1.0
2018-04-06
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2018-04-06
Total releases: 8 / 8 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 3.0.0
Bundled data: 40 KB / 1 file
Download size: 2.9 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("anomalize")

Format

Dancho, M., & Vaughan, D. (2023). anomalize: Tidy Anomaly Detection (Version 0.3.0) [Computer software]. https://doi.org/10.32614/CRAN.package.anomalize

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 anomalize version 0.3.0 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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