Package: datadriftR 0.0.1

datadriftR: Concept Drift Detection Methods for Stream Data

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) 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>, 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>.

Authors:Ugur Dar [aut, cre], Mustafa Cavus [ctb, ths]

datadriftR_0.0.1.tar.gz
datadriftR_0.0.1.zip(r-4.5)datadriftR_0.0.1.zip(r-4.4)datadriftR_0.0.1.zip(r-4.3)
datadriftR_0.0.1.tgz(r-4.4-any)datadriftR_0.0.1.tgz(r-4.3-any)
datadriftR_0.0.1.tar.gz(r-4.5-noble)datadriftR_0.0.1.tar.gz(r-4.4-noble)
datadriftR_0.0.1.tgz(r-4.4-emscripten)datadriftR_0.0.1.tgz(r-4.3-emscripten)
datadriftR.pdf |datadriftR.html
datadriftR/json (API)

# Install 'datadriftR' in R:
install.packages('datadriftR', repos = c('https://ugurdar.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/ugurdar/datadriftr/issues

On CRAN:

3.30 score 1 stars 466 downloads 8 exports 70 dependencies

Last updated 3 months agofrom:c86fe1162a. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-winOKNov 04 2024
R-4.5-linuxOKNov 04 2024
R-4.4-winOKNov 04 2024
R-4.4-macOKNov 04 2024
R-4.3-winOKNov 04 2024
R-4.3-macOKNov 04 2024

Exports:DDMEDDMHDDM_AHDDM_WKLDivergenceKSWINPageHinkleyProfileDifference

Dependencies:ashbitopsbootcliclustercodetoolscolorspacedata.tabledeSolvedoParalleldoremifansifarverfdafda.uscfdsFNNforeachformatRfutile.loggerfutile.optionsggplot2gluegridExtragtablehdrcdeisobanditeratorskernlabKernSmoothkskSampleslabelinglambda.rlatticelifecyclelme4lmerTestlocfitmagrittrMASSMatrixmclustmgcvminqamulticoolmunsellmvtnormnlmenloptrnumDerivpcaPPpillarpkgconfigpracmaR6rainbowRColorBrewerRcppRcppEigenRCurlrlangscalesSuppDiststibbleutf8vctrsviridisLitewithrzoo