Package: datadriftR
Type: Package
Title: Concept Drift Detection Methods for Stream Data
Version: 1.1.0
Authors@R: c(
    person("Ugur", "Dar", email = "ugurdarr@gmail.com",
           role = c("aut", "cre"), comment = c(ORCID = "0009-0005-8076-2199")),
    person("Mustafa", "Cavus", email = "mcavus@eskisehir.edu.tr", 
           role = "aut", comment = c(ORCID = "0000-0002-6172-5449"))
  )
Description: A system designed for detecting concept drift in streaming datasets.
    It offers a comprehensive suite of statistical methods to detect concept drift,
    including methods for monitoring changes in data distributions over time. The
    package supports several tests, such as Drift Detection Method (DDM), Early
    Drift Detection Method (EDDM), Hoeffding Drift Detection Methods (HDDM_A,
    HDDM_W), Kolmogorov-Smirnov test-based Windowing (KSWIN), Adaptive WINdowing
    (ADWIN) and Page Hinkley (PH) tests. The methods implemented in this package
    are based on established research and have been demonstrated to be effective
    in real-time data analysis. For more details on the methods, please check to
    the following sources. Kobylińska et al. (2023) <doi:10.48550/arXiv.2308.11446>,
    S. Kullback & R.A. Leibler (1951) <doi:10.1214/aoms/1177729694>, Gama et al.
    (2004) <doi:10.1007/978-3-540-28645-5_29>, Baena-Garcia et al. (2006)
    <https://www.researchgate.net/publication/245999704_Early_Drift_Detection_Method>,
    Frías-Blanco et al. (2014) <https://ieeexplore.ieee.org/document/6871418>,
    Bifet and Gavalda (2007) <doi:10.1137/1.9781611972771>, Raab et al. (2020)
    <doi:10.1016/j.neucom.2019.11.111>, Page (1954) <doi:10.1093/biomet/41.1-2.100>,
    Montiel et al. (2018) <https://jmlr.org/papers/volume19/18-251/18-251.pdf>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: R6, stats, fda.usc
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, pkgdown, dynaTree,
        ranger
Config/testthat/edition: 3
VignetteBuilder: knitr
RoxygenNote: 7.3.2
URL: https://ugurdar.github.io/datadriftR/,
        https://github.com/ugurdar/datadriftR
BugReports: https://github.com/ugurdar/datadriftR/issues
NeedsCompilation: no
Packaged: 2026-04-22 18:52:17 UTC; ugurdar
Author: Ugur Dar [aut, cre] (ORCID: <https://orcid.org/0009-0005-8076-2199>),
  Mustafa Cavus [aut] (ORCID: <https://orcid.org/0000-0002-6172-5449>)
Maintainer: Ugur Dar <ugurdarr@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-22 20:30:10 UTC
Built: R 4.5.2; ; 2026-04-23 00:16:32 UTC; unix
