SChangeBlock: Spatial Structural Change Detection by an Analysis of Variability Between Blocks of Observations

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>.

Version: 0.0.1
Depends: R (≥ 3.3.1)
Imports: Rcpp, ggplot2, nortest, expm, robcp
LinkingTo: Rcpp
Suggests: testthat (≥ 3.0.0)
Published: 2026-01-06
DOI: 10.32614/CRAN.package.SChangeBlock (may not be active yet)
Author: Sheila Goerz [aut, cre], Roland Fried [ctb, ths]
Maintainer: Sheila Goerz <sheila.goerz at tu-dortmund.de>
License: GPL (≥ 3)
NeedsCompilation: yes
Citation: SChangeBlock citation info
Materials: README
CRAN checks: SChangeBlock results

Documentation:

Reference manual: SChangeBlock.html , SChangeBlock.pdf

Downloads:

Package source: SChangeBlock_0.0.1.tar.gz
Windows binaries: r-devel: SChangeBlock_0.0.1.zip, r-release: SChangeBlock_0.0.1.zip, r-oldrel: SChangeBlock_0.0.1.zip
macOS binaries: r-release (arm64): SChangeBlock_0.0.1.tgz, r-oldrel (arm64): SChangeBlock_0.0.1.tgz, r-release (x86_64): SChangeBlock_0.0.1.tgz, r-oldrel (x86_64): SChangeBlock_0.0.1.tgz

Linking:

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