TSA

1.3.1

Time Series Analysis

5packages depend

230.1Kdownloads / year

–test coverage

0/13checks pass

Overview

About

Maintained by Kung-Sik ChanFirst published 2010-08-018 releasesCRAN page ↗

Contains R functions and datasets detailed in the book "Time Series Analysis with Applications in R (second edition)" by Jonathan Cryer and Kung-Sik Chan.

Install

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

install.packages("TSA", 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-tsa

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-TSA

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-TSA

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

Health

CRAN checks

13NOTE

Failing flavors

NOTE r-devel-linux-x86_64-debian-clang
NOTE r-devel-linux-x86_64-debian-gcc
NOTE r-devel-linux-x86_64-fedora-clang
NOTE r-devel-linux-x86_64-fedora-gcc
NOTE r-devel-windows-x86_64
NOTE r-oldrel-macos-arm64
NOTE r-oldrel-macos-x86_64
NOTE r-oldrel-windows-x86_64
NOTE r-patched-linux-x86_64
NOTE r-release-linux-x86_64
NOTE r-release-macos-arm64
NOTE r-release-macos-x86_64
NOTE r-release-windows-x86_64

Slowest check: 3.7 min · r-devel-linux-x86_64-fedora-clang

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

Dependencies · direct

Check history

NOTE2026-03-27
0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-03-25
0 OK · 13 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-03-10
0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 97%
Documented parameters: 98%
Return-value docs: 100%
References docs: 23%

Downloads

230.1K

CRAN downloads in the past year

Rank #964 · ~630/day · ~19.2K/mo

Releases R versions

Daily download trend is not available in this view yet.

9.5K30 days

48K90 days

230.1K1 year

Compare downloads with other packages →

Also on155 r2u31 autocran72 c2d4u

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Depends (1)

R >= 2.10

Imports (4)

leaps locfitmgcvtseries

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

5direct

1indirect

ATAforecasting trawl ZIM dynlm healthyR.ts

Code & Tests

Code Composition

R 3,330 (54%)Rd 2,793 (46%)

Code characteristics

Object systems

S38

Cyclomatic complexity: 7.0 median / 151 max

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

40 31 exported

Complexity

14.9 avg / 151 max

Call network

40 nodes / 20 edges

Call graph

Open call graph →

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Datasets

Bundled datasets · 39

Name	Class	Rows × Cols	Also ships in
CREF	ts	–	–
JJ	ts	–	in 4 packages
SP	ts	–	–
airpass	ts	–	in 5 packages
ar1.2.s	ts	–	–
ar1.s	ts	–	–
ar2.s	ts	–	–
arma11.s	ts	–	–
beersales	ts	–	–
bluebirdlite	data.frame	104 × 2	–
co2	ts	–	–
color	ts	–	–
days	ts	–	–
deere1	ts	–	–
deere2	ts	–	–
deere3	ts	–	–
euph	ts	–	–
explode.s	ts	–	–
flow	ts	–	–
gold	ts	–	–
google	ts	–	–
hare	ts	–	–
hours	ts	–	–
ima22.s	ts	–	–
larain	ts	–	–
ma1.1.s	ts	–	–
ma1.2.s	ts	–	–
ma2.s	ts	–	–
oil.price	ts	–	–
oilfilters	ts	–	–
prescrip	ts	–	–
prey.eq	ts	–	–
robot	ts	–	–
spots	ts	–	–
tbone	ts	–	–
tempdub	ts	–	–
tuba	ts	–	–
usd.hkd	data.frame	431 × 6	–
winnebago	ts	–	–

People & History

People (0)

Author records are not tracked yet for this package.

Listed in earlier versions (2)

Kung-Sik Chan

no longer listed · 0.98 to 1.3.1

Brian Ripley

no longer listed · 1.0 to 1.3.1

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
R
R 4.3.0 released · 2023-04-21
1.3.1Latest
2022-07-05 · current release · diff ↗
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
1.3
2020-09-13 · diff ↗
unarchivedReturned to CRAN
2020-09-13
archivedRemoved from CRAN
2020-05-04
no strict revdeps remained
1.2.1
2020-05-03 · diff ↗
orphanedOrphaned by its maintainer
2020-05-03
check problems were not corrected despite reminders '\donttest', if(<length > 1>)
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
1.2
2018-06-30 · diff ↗
R
R 3.5.0 released · 2018-04-23

Show 14 earlier events

R
R 3.4.0 released · 2017-04-21
R
R 3.3.0 released · 2016-05-03
R
R 3.2.0 released · 2015-04-16
R
R 3.1.0 released · 2014-04-10
R
R 3.0.0 released · 2013-04-03
1.01
2012-11-13 · diff ↗
1.0
2012-10-31 · diff ↗
0.99
2012-09-12 · diff ↗
R
R 2.15.0 released · 2012-03-30
R
R 2.14.0 released · 2011-10-31
R
R 2.13.0 released · 2011-04-13
R
R 2.12.0 released · 2010-10-15
0.98
2010-08-01
R
R 2.11.0 released · 2010-04-22

Package metadata

First published: 2010-08-01
Total releases: 8 / 16 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 2.10
Bundled data: 128 KB / 53 files
Download size: 203 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Anomaly Detection Time Series Analysis

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