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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

Documentation:

Reference manual: ConsensusCPA.html , ConsensusCPA.pdf

Downloads:

Package source: ConsensusCPA_0.1.0.tar.gz
Windows binaries: r-devel: ConsensusCPA_0.1.0.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): ConsensusCPA_0.1.0.tgz, r-oldrel (arm64): ConsensusCPA_0.1.0.tgz, r-release (x86_64): ConsensusCPA_0.1.0.tgz, r-oldrel (x86_64): ConsensusCPA_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.