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datadriftR is an R package for real-time detection of data drift in univariate streaming data. It provides a unified R6-based interface to eight online drift detectors (DDM, EDDM, HDDM-A, HDDM-W, KSWIN, Page-Hinkley, KL-histogram, ProfileDifference) with single-element streaming updates via add_element. The package is lightweight, relies only on base R and R6, and enables reproducible monitoring workflows in production machine learning systems, installable from GitHub.
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