Other packages > Find by keyword >

NeEDS4BigData  

New Experimental Design Based Subsampling Methods for Big Data
View on CRAN: Click here


Download and install NeEDS4BigData package within the R console
Install from CRAN:
install.packages("NeEDS4BigData")

Install from Github:
library("remotes")
install_github("cran/NeEDS4BigData")

Install by package version:
library("remotes")
install_version("NeEDS4BigData", "1.0.1")



Attach the package and use:
library("NeEDS4BigData")
Maintained by
Amalan Mahendran
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-10-22
Latest Update: 2025-10-22
Description:
Subsampling methods for big data under different models and assumptions. Starting with linear regression and leading to Generalised Linear Models, softmax regression, and quantile regression. Specifically, the model-robust subsampling method proposed in Mahendran, A., Thompson, H., and McGree, J. M. (2023) <doi:10.1007/s00362-023-01446-9>, where multiple models can describe the big data, and the subsampling framework for potentially misspecified Generalised Linear Models in Mahendran, A., Thompson, H., and McGree, J. M. (2025) <doi:10.48550/arXiv.2510.05902>.
How to cite:
Amalan Mahendran (2025). NeEDS4BigData: New Experimental Design Based Subsampling Methods for Big Data. R package version 1.0.1, https://cran.r-project.org/web/packages/NeEDS4BigData. Accessed 24 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited NeEDS4BigData R package
View NeEDS4BigData citation profile
Other R packages that NeEDS4BigData depends, imports, suggests or enhances
Complete documentation for NeEDS4BigData
Functions, R codes and Examples using the NeEDS4BigData R package
Full NeEDS4BigData package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
visdat  
Preliminary Visualisation of Data
Create preliminary exploratory data visualisations of an entire dataset to identify problems or une ...
Download / Learn more Package Citations See dependency  
extlasso  
Maximum Penalized Likelihood Estimation with Extended Lasso Penalty
Estimates coefficients of extended LASSO penalized linear regression and generalized linear models. ...
Download / Learn more Package Citations See dependency  
funprog  
Functional Programming
High-order functions for data manipulation : sort or group data, given one or more auxiliary func ...
Download / Learn more Package Citations See dependency  
r3PG  
Simulating Forest Growth using the 3-PG Model
Provides a flexible and easy-to-use interface for the Physiological Processes Predicting Growth (3-P ...
Download / Learn more Package Citations See dependency  
RcmdrPlugin.depthTools  
R Commander Depth Tools Plug-in
We provide an Rcmdr plug-in based on the depthTools package, which implements different robust stat ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,081

Publication Badges

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