Detecting Breakpoints and Estimating Segments in Trend
Overview
A program for analyzing vegetation time series, with two algorithms: 1) change detection algorithm that detects trend changes, determines their type (abrupt or non-abrupt), and estimates their timing, magnitude, number, and direction; 2) generalization algorithm that simplifies the temporal trend into main features. The user can set the number of major breakpoints or magnitude of greatest changes of interest for detection, and can control the generalization process by setting an additional parameter of generalization-percentage.
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Documentation
- Help pages
- 6
- Examples that run
- 83%5 run in a plain check · 1 never run
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 17%
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Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- archivedRemoved from CRAN2025-06-17issues were not corrected despite reminders
- RR 4.5.0 released · 2025-04-11
- 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
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 1.82017-10-23 · diff ↗
- 1.72017-05-31 · diff ↗
- 1.62017-05-04 · diff ↗
- RR 3.4.0 released · 2017-04-21
- 1.52017-03-31 · diff ↗
- 1.42016-11-15 · diff ↗
Package metadata
- First published
- 2016-05-12
- Total releases
- 9 / 10 yrs
- License
- GPL-2 OSI
- Bundled data
- 9.2 KB / 4 files
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