Consensus-Based Change-Point Analysis Using Multiple Statistical Tests R package ConsensusCPA version 0.1.0 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>. Software Depends: R (>= 4.1.0) Imports: dplyr, ggplot2, rlang, trend, openxlsx, zoo S. Vishnu Shankar <S.vishnushankar55@gmail.com> Comprehensive R Archive Network (CRAN) S. Vishnu Shankar [aut, cre], Santosha Rathod [aut], Mrinmoy Ray [aut], Anil Kumar [aut], V. Lavanya [aut], Prabhat Kumar [aut] GPL-3 2026-08-24 application/tgz https://CRAN.R-project.org/package=ConsensusCPA doi:10.32614/CRAN.package.ConsensusCPA