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44 lines (43 loc) · 1.46 KB
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cff-version: 1.2.0
message: "If you use this software, please cite it as below."
type: software
title: "datadriftR: An R package for streaming data drift detection"
version: "1.1.0"
date-released: "2025-11-09"
repository-code: "https://github.com/ugurdar/datadriftR"
url: "https://cran.r-project.org/package=datadriftR"
license: "MIT"
keywords:
- R
- concept drift
- change detection
- streaming data
- online learning
authors:
- given-names: Ugur
family-names: Dar
email: ugurdarr@gmail.com
orcid: "https://orcid.org/0009-0005-8076-2199"
- given-names: Mustafa
family-names: Cavus
email: mustafacavus@eskisehir.edu.tr
orcid: "https://orcid.org/0000-0002-6172-5449"
abstract: |
datadriftR provides concept drift and change detection for streaming data in
R, implementing established methods including DDM, EDDM, HDDM-A, HDDM-W,
KSWIN, Page–Hinkley, ADWIN and KL divergence–based monitoring. It supports
online learning workflows and model monitoring by detecting shifts in data
distributions and predictive performance over time.
preferred-citation:
type: software
title: "datadriftR: An R package for streaming data drift detection"
authors:
- given-names: Ugur
family-names: Dar
orcid: "https://orcid.org/0009-0005-8076-2199"
- given-names: Mustafa
family-names: Cavus
orcid: "https://orcid.org/0000-0002-6172-5449"
year: 2025
version: "1.1.0"
url: "https://cran.r-project.org/package=datadriftR"