Other packages > Find by keyword >

ExperimentalDesignGeneratorandRandomiser  

'EDGAR': Experimental Design Generator and Randomiser
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ExperimentalDesignGeneratorandRandomiser", "0.1.0")



Attach the package and use:
library("ExperimentalDesignGeneratorandRandomiser")
Maintained by
BiologyAutomation
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-02
Latest Update: 2026-09-02
Description:
Native R implementation of 'EDGAR', the Experimental Design Generator and Randomiser. 'EDGAR' was originally developed as a suite of 'Excel' <https://www.microsoft.com/microsoft-365/excel> workbooks by the Biometrics team at Rothamsted Research <http://www.edgarweb.org.uk/>. The algorithms were subsequently re-implemented in the open-source 'Python' <https://www.python.org/> project 'rotsl/edgar' <https://rotsl.github.io/edgar/>, distributed as the 'edgar-design' package on 'PyPI' <https://pypi.org/project/edgar-design/>. This R package is a native R port of that 'Python' implementation: it does not require 'Python', 'reticulate' <https://CRAN.R-project.org/package=reticulate>, or any external service at runtime, and provides deterministic, reproducible randomisation for nine experimental designs including alpha designs (Patterson and Williams, 1976) <doi:10.1093/biomet/63.1.83>. Cross-language reproducibility with the 'Python' implementation is achieved by porting the Mersenne Twister seeding implementation from 'CPython' <https://github.com/python/cpython> and the Fisher-Yates shuffle to native R.
How to cite:
BiologyAutomation (2026). ExperimentalDesignGeneratorandRandomiser: 'EDGAR': Experimental Design Generator and Randomiser. R package version 0.1.0, https://cran.r-project.org/web/packages/ExperimentalDesignGeneratorandRandomiser. Accessed 27 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited ExperimentalDesignGeneratorandRandomiser R package
View ExperimentalDesignGeneratorandRandomiser citation profile
Other R packages that ExperimentalDesignGeneratorandRandomiser depends, imports, suggests or enhances
Complete documentation for ExperimentalDesignGeneratorandRandomiser
Functions, R codes and Examples using the ExperimentalDesignGeneratorandRandomiser R package
Full ExperimentalDesignGeneratorandRandomiser package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

usemodels  
Boilerplate Code for 'Tidymodels' Analyses
Code snippets to fit models using the tidymodels framework can be easily created for a given data se ...
Download / Learn more Package Citations See dependency  
exams2learnr  
Interface for 'exams' Exercises in 'learnr' Tutorials
Automatic generation of quizzes or individual questions for 'learnr' tutorials based on 'R/exams' ex ...
Download / Learn more Package Citations See dependency  
spanish  
Translate Quantities from Strings to Integer and Back. Misc Functions on Spanish Data
Character vector to numerical translation in Euros from Spanish spelled monetary quantities. Reverse ...
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  
SGB  
Simplicial Generalized Beta Regression
Main properties and regression procedures using a generalization of the Dirichlet distribution calle ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

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