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) .


Reference manual

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install.packages("ConsensusCPA")

0.1.0 by S. Vishnu Shankar, a month ago


Browse source code at https://github.com/cran/ConsensusCPA


Authors: S. Vishnu Shankar [aut, cre] , Santosha Rathod [aut] , Mrinmoy Ray [aut] , Anil Kumar [aut] , V. Lavanya [aut] , Prabhat Kumar [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports dplyr, ggplot2, rlang, trend, openxlsx, zoo


See at CRAN