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", "0.0.1")



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: 2024-06-13
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 0.0.1, https://cran.r-project.org/web/packages/datadriftR. Accessed 06 Oct. 2024.
Previous versions and publish date:
No previous versions
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
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

ggjoy  
Joyplots in 'ggplot2'
Joyplots provide a convenient way of visualizing changes in distributions over time or space. This p ...
Download / Learn more Package Citations See dependency  
RMark  
R Code for Mark Analysis
An interface to the software package MARK that constructs input files for MARK and extracts the out ...
Download / Learn more Package Citations See dependency  
emplik2  
Empirical Likelihood Ratio Test for Two-Sample U-Statistics with Censored Data
Calculates the p-value for a mean-type hypothesis (or multiple mean-type hypotheses) based on two s ...
Download / Learn more Package Citations See dependency  
LongMemoryTS  
Long Memory Time Series
Long Memory Time Series is a collection of functions for estimation, simulation and testing of long ...
Download / Learn more Package Citations See dependency  
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  

22,910

R Packages

196,310

Dependencies

63,792

Author Associations

22,911

Publication Badges

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