Other packages > Find by keyword >

fastrerandomize  

Hardware-Accelerated Rerandomization for Improved Balance
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("fastrerandomize", "0.2")



Attach the package and use:
library("fastrerandomize")
Maintained by
Connor Jerzak
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-01-13
Latest Update: 2025-01-14
Description:
Provides hardware-accelerated tools for performing rerandomization and randomization testing in experimental research. Using a 'JAX' backend, the package enables exact rerandomization inference even for large experiments with hundreds of billions of possible randomizations. Key functionalities include generating pools of acceptable rerandomizations based on covariate balance, conducting exact randomization tests, and performing pre-analysis evaluations to determine optimal rerandomization acceptance thresholds. The package supports various hardware acceleration frameworks including 'CPU', 'CUDA', and 'METAL', making it versatile across accelerated computing environments. This allows researchers to efficiently implement stringent rerandomization designs and conduct valid inference even with large sample sizes. The package is partly based on Jerzak and Goldstein (2023) <doi:10.48550/arXiv.2310.00861>.
How to cite:
Connor Jerzak (2025). fastrerandomize: Hardware-Accelerated Rerandomization for Improved Balance. R package version 0.2, https://cran.r-project.org/web/packages/fastrerandomize. Accessed 03 Feb. 2025.
Previous versions and publish date:
0.1 (2025-01-13 19:00)
Other packages that cited fastrerandomize R package
View fastrerandomize citation profile
Other R packages that fastrerandomize depends, imports, suggests or enhances
Complete documentation for fastrerandomize
Functions, R codes and Examples using the fastrerandomize R package
Full fastrerandomize 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

predictoR  
Predictive Data Analysis System
Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
SMR  
Externally Studentized Midrange Distribution
Computes the studentized midrange distribution (pdf, cdf and quantile) and generates random numbers. ...
Download / Learn more Package Citations See dependency  
HGMND  
Heterogeneous Graphical Model for Non-Negative Data
Graphical model is an informative and powerful tool to explore the conditional dependence relationsh ...
Download / Learn more Package Citations See dependency  
metaboData  
Example Metabolomics Data Sets
Data sets from a variety of biological sample matrices, analysed using a number of mass spectrometr ...
Download / Learn more Package Citations See dependency  
cmce  
Computer Model Calibration for Deterministic and Stochastic Simulators
Implements the Bayesian calibration model described in Pratola and Chkrebtii (2018) ...
Download / Learn more Package Citations See dependency  

23,630

R Packages

204,513

Dependencies

64,101

Author Associations

23,581

Publication Badges

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