Spatial Structural Change Detection by an Analysis of Variability Between Blocks of Observations
Overview
Provides methods to detect structural changes in time series or random fields (spatial data). Focus is on the detection of abrupt changes or trends in independent data, but the package also provides a function to de-correlate data with dependence. The functions are based on the test suggested in Schmidt (2024) DOI:10.3150/23-BEJ1686 and the work in Görz and Fried (2025) DOI:10.48550/arXiv.2512.11599.
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-04-22
Show 2 earlier changesHide 2 earlier changes
- ERROR13 OK, 1 ERROR2026-04-18
- OK14 OK2026-03-10
Documentation
- Help pages
- 17 (1 internal)includes a package overview page
- Examples that run
- 100%15 run in a plain check
- Exported functions with examples
- 93%
- Documented parameters
- 90%
- Return-value docs
- 100%
- Help pages citing references
- 18%
Downloads
Dependencies
Code & Tests
People & History
Package metadata
- First published
- 2026-01-06
- Total releases
- 3 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.3.1
- Download size
- 30 KB
Cite
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Run in R for the authors' preferred citation:
citation("SChangeBlock")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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