Other packages > Find by keyword >

datadriftR  

Concept Drift Detection Methods for Stream Data
View on CRAN: Click here


Download and install datadriftR package within the R console
Install from CRAN:
install.packages("datadriftR")

Install from Github:
library("remotes")
install_github("cran/datadriftR")

Install by package version:
library("remotes")
install_version("datadriftR", "1.0.0")



Attach the package and use:
library("datadriftR")
Maintained by
Ugur Dar
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-06-13
Latest Update: 2025-01-09
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) 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. 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>.
How to cite:
Ugur Dar (2024). datadriftR: Concept Drift Detection Methods for Stream Data. R package version 1.0.0, https://cran.r-project.org/web/packages/datadriftR. Accessed 06 Jun. 2026.
Previous versions and publish date:
0.0.1 (2024-06-13 20:10), 1.0.0 (2025-01-09 15:30)
Other packages that cited datadriftR R package
View datadriftR citation profile
Other R packages that datadriftR depends, imports, suggests or enhances
Complete documentation for datadriftR
Functions, R codes and Examples using the datadriftR R package
Full datadriftR package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
rwavelet  
Wavelet Analysis
Perform wavelet analysis (orthogonal,translation invariant, tensorial, 1-2-3d transforms, thresholdi ...
Download / Learn more Package Citations See dependency  
BALLI  
Expression RNA-Seq Data Analysis Based on Linear Mixed Model
Analysis of gene expression RNA-seq data using Bartlett-Adjusted Likelihood-based LInear model (BALL ...
Download / Learn more Package Citations See dependency  
IAPWS95  
Thermophysical Properties of Water and Steam
An implementation of the International Association for the Properties of Water (IAPWS) Formulation ...
Download / Learn more Package Citations See dependency  
worrrd  
Generate Wordsearch and Crossword Puzzles
Generate wordsearch and crossword puzzles using custom lists of words (and clues).Make them easy or ...
Download / Learn more Package Citations See dependency  
odbc  
Connect to ODBC Compatible Databases (using the DBI Interface)
A DBI-compatible interface to ODBC databases. ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,820

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA