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.
- Version0.0.1
- R versionR (≥ 3.3.1)
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- SChangeBlock citation info
- Last releaselast Tuesday at 12:00 AM
Documentation
Team
Sheila Goerz
MaintainerShow author detailsRoland Fried
Show author detailsRolesContributor, Thesis advisor
Insights
Last 30 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN