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>.
| Version: |
0.1.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
dplyr, ggplot2, rlang, trend, openxlsx, zoo |
| Published: |
2026-08-24 |
| DOI: |
10.32614/CRAN.package.ConsensusCPA (may not be active yet) |
| Author: |
S. Vishnu Shankar [aut, cre],
Santosha Rathod [aut],
Mrinmoy Ray [aut],
Anil Kumar [aut],
V. Lavanya [aut],
Prabhat Kumar [aut] |
| Maintainer: |
S. Vishnu Shankar <S.vishnushankar55 at gmail.com> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| CRAN checks: |
ConsensusCPA results |
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