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ConsensusCPA  

Consensus-Based Change-Point Analysis Using Multiple Statistical Tests
View on CRAN: Click here


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

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

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



Attach the package and use:
library("ConsensusCPA")
Maintained by
S. Vishnu Shankar
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-24
Latest Update: 2026-08-24
Description:
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>.
How to cite:
S. Vishnu Shankar (2026). ConsensusCPA: Consensus-Based Change-Point Analysis Using Multiple Statistical Tests. R package version 0.1.0, https://cran.r-project.org/web/packages/ConsensusCPA. Accessed 24 Oct. 2026.
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Complete documentation for ConsensusCPA
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