R Observatory: Metrics for tsoutliers version 0.6-10

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

tsoutliers

0.6-10Package record

Detection of Outliers in Time Series

3packages depend

22.4Kdownloads / year

–test coverage

11/13flavors OK

Overview

About

Maintained by Javier López-de-LacalleCRAN page ↗Website ↗

Detection of outliers in time series following the Chen and Liu (1993) DOI:10.2307/2290724 procedure. Innovational outliers, additive outliers, level shifts, temporary changes and seasonal level shifts are considered.

Changes in 0.6-10

Fixed issue with aliases in Rd files.

From NEWS in the release

Install

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

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

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

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-tsoutliers

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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-tsoutliers

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-tsoutliers

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

2NOTE11OK

Check messages

NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Maintainer: ‘Javier López-de-Lacalle <javlacalle@yahoo.es>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Javier",
                    family = "López-de-Lacalle",
                    role = c("aut", "cre"),
                    email = "javlacalle@yahoo.es")
as necessary.

CRAN check page ↗

Slowest check: 2.3 min · r-oldrel-windows-x86_64

Status changes

NOTE11 OK, 2 NOTENow
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.6-10

READMENoVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.6-10Citation fileNoWebsiteYes

Help pages: 19includes a package overview page
Examples that run: 82%9 run in a plain check · 2 never run
Exported functions with examples: 73%
Documented parameters: 87%
Return-value docs: 100%
Help pages citing references: 53%

Vignettes (1)

tsoutliers-intro PDF

How these are measured

Downloads

22.4K

CRAN downloads in the past year

Rank #3,488 · ~61/day · ~1.9K/mo

Releases R versions

Daily download trend is not available in this view yet.

1.1K30 days

3.1K90 days

22.4K1 year

Compare downloads with other packages →

Also on165 r2u3 autocran991 conda_forge146 c2d4u

How downloads are counted

Dependencies

Declared dependencies

1 external dependency (excludes base and recommended)

Installing tsoutliers adds 28 packages (16 with compiled code, 21 MB of source tarballs). Heaviest: ggplot2 6.0 MB, colorspace 2.0 MB, Rcpp 1.8 MB.

Depends (1)

R >= 3.0.0

Imports (2)

forecaststats

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

3direct

2indirect

Imports 3

Depends, Imports or LinkingTo, most downloaded first

UComp dsa tsaux

How these are counted

Code & Tests

Datasets

People & History

People (from the free-text Author field) (1)

Javier López-de-Lacalle

Maintainer since 0.3 (2014)

Releases (9)

Pick two releases to compare their code metrics.

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
0.6-10Latest
record
2024-02-12 · current release · diff ↗
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
0.6-8
record
2019-02-24 · diff ↗
R
R 3.5.0 released · 2018-04-23
0.6-6
record
2017-05-27 · diff ↗ ·
added 1 export
discard.outliers
R
R 3.4.0 released · 2017-04-21
0.6-5
record
2016-12-08 · diff ↗ ·
added 2 exports
find.consecutive.outliers, print.tsoutliers
0.6-3
record
2016-07-07 · diff ↗
R
R 3.3.0 released · 2016-05-03

Show 6 earlier eventsHide 6 earlier events

R
R 3.2.0 released · 2015-04-16
0.6
record
2015-01-27 · diff ↗
0.5
record
2015-01-25 · diff ↗
0.4
record
2014-06-28 · diff ↗ ·
removed 3 exports
jarque.bera.test, tsoutliers0, tsoutliers

added 3 exports
JarqueBera.test, tso0, tso
0.3
record
2014-06-17
R
R 3.1.0 released · 2014-04-10

Package metadata

First published: 2014-06-17
Total releases: 9 / 12 yrs
License: GPL-2 OSI
Minimum R: ≥ 3.0.0
Bundled data: 17 KB / 3 files
Download size: 108 KB

Appears in task views

Anomaly Detection Time Series Analysis

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("tsoutliers")

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 tsoutliers version 0.6-10 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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