bfast
1.7.2Breaks for Additive Season and Trend
Overview
Decomposition of time series into trend, seasonal, and remainder components with methods for detecting and characterizing abrupt changes within the trend and seasonal components. 'BFAST' can be used to analyze different types of satellite image time series and can be applied to other disciplines dealing with seasonal or non-seasonal time series, such as hydrology, climatology, and econometrics. The algorithm can be extended to label detected changes with information on the parameters of the fitted piecewise linear models. 'BFAST' monitoring functionality is described in Verbesselt et al. (2010) doi:10.1016/j.rse.2009.08.014. 'BFAST monitor' provides functionality to detect disturbance in near real-time based on 'BFAST'- type models, and is described in Verbesselt et al. (2012) doi:10.1016/j.rse.2012.02.022. 'BFAST Lite' approach is a flexible approach that handles missing data without interpolation, and will be described in an upcoming paper. Furthermore, different models can now be used to fit the time series data and detect structural changes (breaks).
Install
Health
- OK2026-04-2214 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1813 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-0214 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-03-1013 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 88%
- Return-value docs
- 89%
- References docs
- 35%
Downloads
Repository
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1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/bfast2/bfast on 2026-07-19.
Dependencies
Code & Tests
- Cyclomatic complexity
- 3.0 median / 97 max
Test coverage
Line coverage
–
Expression
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Tests / Examples
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Functions
49 10 exported
Complexity
7.7 avg / 97 max
Call network
49 nodes / 28 edges
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Datasets
People & History
11 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.7.2Latest
- 1.7.12025-08-18 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 1.7.02024-10-22 · diff ↗
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.6.12021-05-10 · diff ↗
- 1.6.02021-05-03 · diff ↗
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
Show 15 earlier events
- RR 3.2.0 released · 2015-04-16
- 1.5.72014-08-28 · diff ↗
- RR 3.1.0 released · 2014-04-10
- RR 3.0.0 released · 2013-04-03
- 1.4.42013-03-27 · diff ↗
- RR 2.15.0 released · 2012-03-30
- 1.4.32012-02-17 · diff ↗
- RR 2.14.0 released · 2011-10-31
- 1.2-12011-04-24 · diff ↗
- RR 2.13.0 released · 2011-04-13
- 1.22011-02-25 · diff ↗
- RR 2.12.0 released · 2010-10-15
- RR 2.11.0 released · 2010-04-22
- 1.12009-12-14
- RR 2.10.0 released · 2009-10-26
Package metadata
- First published
- 2009-12-14
- Total releases
- 11 / 17 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.0.0
- Bundled data
- 9.7 KB / 5 files
- Download size
- 154 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet