Detecting, Decomposing, and Stress-Testing Temporal Change in Repeated Decision Systems R package DecisionDrift version 0.2.0 Tools for detecting, decomposing, and testing temporal change in repeated binary decision systems. Decomposes each change in the decision rate into inflow (uptake) and outflow (reversal) through the marginal-transition identity, separates net change from gross turnover, and splits aggregate change into within-group and composition components with a symmetric midpoint decomposition. A unit-level cluster bootstrap gives intervals for every component and a global test of process stability with family-wise-adjusted contrasts and simultaneous confidence bands. Also provides prevalence and transition drift summaries, entropy trends, group-differential drift, change-point diagnostics, robustness and sensitivity analyses, an integrated audit, and a simulator for stable, marginal, masked, abrupt, group-masked, and composition-change scenarios. Complements the 'decisionpaths' package. Applications include algorithmic audit, AI governance, education, health, and organisational research. Software Depends: R (>= 4.1.0) Imports: cli (>= 3.0.0), rlang (>= 0.4.0), stats, tibble (>= 3.0.0), utils Suggests: decisionpaths, ggplot2 (>= 3.3.0), knitr, patchwork, rmarkdown, testthat (>= 3.0.0) Subir Hait <haitsubi@msu.edu> Comprehensive R Archive Network (CRAN) Subir Hait [aut, cre] (ORCID: <https://orcid.org/0009-0004-9871-9677>) MIT + file LICENSE (https://CRAN.R-project.org/package=DecisionDrift/LICENSE) 2026-10-17 application/tgz https://CRAN.R-project.org/package=DecisionDrift doi:10.32614/CRAN.package.DecisionDrift en-GB