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SChangeBlock  

Spatial Structural Change Detection by an Analysis of Variability Between Blocks of Observations
View on CRAN: Click here


Download and install SChangeBlock package within the R console
Install from CRAN:
install.packages("SChangeBlock")

Install from Github:
library("remotes")
install_github("cran/SChangeBlock")

Install by package version:
library("remotes")
install_version("SChangeBlock", "0.1.0")



Attach the package and use:
library("SChangeBlock")
Maintained by
Sheila Goerz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-22
Latest Update: 2026-01-22
Description:
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>.
How to cite:
Sheila Goerz (2026). SChangeBlock: Spatial Structural Change Detection by an Analysis of Variability Between Blocks of Observations. R package version 0.1.0, https://cran.r-project.org/web/packages/SChangeBlock. Accessed 20 Sep. 2026.
Previous versions and publish date:
(2026-07-09 08:24), 0.0.1 (2026-01-06 12:00), 0.1.0 (2026-01-09 17:30)
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Complete documentation for SChangeBlock
Functions, R codes and Examples using the SChangeBlock R package
Full SChangeBlock package functions and examples
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