Rbeast

1.0.2

Bayesian Change-Point Detection and Time Series Decomposition

0packages depend

9.1Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Kaiguang ZhaoFirst published 2019-05-1717 releasesCRAN page ↗GitHub ↗

BEAST is a Bayesian estimator of abrupt change, seasonality, and trend for decomposing univariate time series and 1D sequential data. Interpretation of time series depends on model choice; different models can yield contrasting or contradicting estimates of patterns, trends, and mechanisms. BEAST alleviates this by abandoning the single-best-model paradigm and instead using Bayesian model averaging over many competing decompositions. It detects and characterizes abrupt changes (changepoints, breakpoints, structural breaks, joinpoints), cyclic or seasonal variation, and nonlinear trends. BEAST not only detects when changes occur but also quantifies how likely the changes are true. It estimates not just piecewise linear trends but also arbitrary nonlinear trends. BEAST is generically applicable to any real-valued time series, such as those from remote sensing, economics, climate science, ecology, hydrology, and other environmental and biological systems. Example applications include identifying regime shifts in ecological data, mapping forest disturbance and land degradation from satellite image time series, detecting market trends in economic indicators, pinpointing anomalies and extreme events in climate records, and analyzing system dynamics in biological time series. Details are given in Zhao et al. (2019) doi:10.1016/j.rse.2019.04.034.

Install

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

install.packages("Rbeast", 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("zhaokg/Rbeast")

Development version from zhaokg/Rbeast. 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-rbeast

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-Rbeast

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-Rbeast

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

Health

CRAN checks

13OK

Slowest check: 3.4 min · r-devel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

Dependencies · direct

Check history

OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 5,661 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 81%
Documented parameters: 97%
Return-value docs: 100%
References docs: 100%

Downloads

9.1K

CRAN downloads in the past year

Rank #4,709 · ~25/day · ~754/mo

Releases R versions

Daily download trend is not available in this view yet.

44530 days

2K90 days

9.1K1 year

Compare downloads with other packages →

Also on404 r2u39 autocran63 c2d4u

Repository

GitHub ↗ zhaokg/rbeast

367Stars

49Forks

19Open issues

0Open PRs

3Releases

224Commits

7Contributors

time-serieschangepoint-detectiontime-series-decompositionbayesian-time-seriestrend-analysisbreakpoint-detectioninterrupted-time-seriesseasonality-analysis

224 commits · Last activity 2026-04-30 · +0.3% stars, 30d

Stars over time

2025-07-15 · 3232026-07-08 · 367

Repository practices

Upstream repositoryBeta

Checks run against github.com/zhaokg/rbeast on 2026-07-19.

No development-tooling practices detected in the upstream repository.

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

Dependencies

Declared dependencies

0 external dependencies (excludes base and recommended)

Depends (3)

R >= 2.10.0methodsutils

Imports (1)

grid

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Code Composition

C 35,801 (80%)R 6,004 (13%)Rd 2,806 (6%)

Code characteristics

Object systems

S33

Cyclomatic complexity: 3.0 median / 180 max

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

1149 9 exported

Complexity

16.8 avg / 180 max

Call network

1149 nodes / 1295 edges

Call graph

Open call graph →

Loading call graph…

Lowest coverage

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

Datasets

Bundled datasets · 5

Name	Class	Rows × Cols	Also ships in
CNAchrom11	vector	–	–
Yellowstone	vector	–	–
covid19	data.frame	1,037 × 4	–
googletrend_beach	ts	–	–
ohio	data.frame	400 × 17	–

People & History

People (6)

Maintainer (1)

Kaiguang Zhao

Author, Maintainer

Authors (4)

Author, Maintainer

Author

Author

Author · added in 0.9.6

Contributors (2)

Jack Dongarra

Contributor · added in 0.2.2

Cleve Moler

Contributor · added in 0.2.2

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
1.0.2Latest
2025-12-19 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
1.0.1
2024-08-30 · diff ↗
R
R 4.4.0 released · 2024-04-24
1.0.0
2023-12-08 · diff ↗
0.9.9
2023-05-14 · diff ↗
0.9.8
2023-05-11 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.9.7
2023-01-22 · diff ↗
0.9.6
2023-01-15 · diff ↗
0.9.5
2022-08-09 · diff ↗
0.9.4
2022-05-18 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.9.3
2022-03-04 · diff ↗
0.9.2
2021-12-23 · diff ↗

Show 13 earlier events

unarchivedReturned to CRAN
2021-12-23
archivedRemoved from CRAN
2021-12-19
check problems were not corrected in time
0.9.1
2021-11-24 · diff ↗
0.9.0
2021-11-15 · diff ↗
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
0.2.2
2019-11-21 · diff ↗
0.2.1
2019-07-26 · diff ↗
0.2
2019-07-23 · diff ↗
unarchivedReturned to CRAN
2019-07-23
archivedRemoved from CRAN
2019-07-20
installation errors were not corrected in time
0.1
2019-05-17
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2019-05-17
Total releases: 17 / 7 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 2.10.0
Bundled data: 219 KB / 8 files
Download size: 1.4 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Bayesian Inference Analysis of Ecological and Environmental Data Time Series Analysis

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