ConsensusCPA
Consensus-Based Change-Point Analysis Using Multiple Statistical Tests
Provides a unified framework for detecting change points in univariate time series using multiple statistical methods, including Pettitt's test, Buishand Range test, Buishand U test, and the Standard Normal Homogeneity Test (SNHT). The package summarizes individual test results, determines a consensus change point using majority, median, or weighted agreement approaches, exports results with graphical comparisons of observations for before and after the detected change point. The methodology is further described in Laasya et al. (2026) <doi:10.1007/s11069-025-07783-2>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | ConsensusCPA_0.1.0.tar.gz |
23.6 KiB |
0.1.0 |
rolling linux/noble R-4.5 | ConsensusCPA_0.1.0.tar.gz |
23.5 KiB |
0.1.0 |
rolling source/ R- | ConsensusCPA_0.1.0.tar.gz |
5.2 KiB |
0.1.0 |
latest linux/jammy R-4.5 | ConsensusCPA_0.1.0.tar.gz |
23.6 KiB |
0.1.0 |
latest linux/noble R-4.5 | ConsensusCPA_0.1.0.tar.gz |
23.5 KiB |
0.1.0 |
latest source/ R- | ConsensusCPA_0.1.0.tar.gz |
5.2 KiB |
0.1.0 |
2026-04-23 source/ R- | ConsensusCPA_0.1.0.tar.gz |
0 B |