DiallelAnalysisR: Diallel Analysis with R

Muhammad Yaseen1, and Kent M. Eskridge2
  1. Department of Mathematics and Statistics, University of Agriculture Faisalabad, Pakistan.
  2. Department of Statistics, University of Nebraska Lincoln, NE, USA.


Project Status: WIP lifecycle Last-changedate Rdoc


Performs Diallel Analysis with R using Griffing’s and Hayman’s approaches. Four different Methods (1: Method-I (Parents + F1’s + reciprocals); 2: Method-II (Parents and one set of F1’s); 3: Method-III (One set of F1’s and reciprocals); 4: Method-IV (One set of F1’s only)) and two Models (1: Fixed Effects Model; 2: Random Effects Model) can be applied using Griffing’s approach.


The package can be installed from CRAN as follows:

install.packages("DiallelAnalysisR", dependencies = TRUE)

The development version can be installed from github as follows:

if (!require("remotes")) install.packages("remotes")

What’s new

To know whats new in this version type:

news(package = "DiallelAnalysisR")

Citing DiallelAnalysisR

To cite the methods in the package use:


To cite the R package 'DiallelAnalysisR' in publications use:

  Muhammad Yaseen, and Kent M. Eskridge (2020).  DiallelAnalysisR:
  Diallel Analysis with R.R package version 0.3.0 ,

A BibTeX entry for LaTeX users is

    title = {DiallelAnalysisR: Diallel Analysis with R},
    author = {{Muhammad Yaseen} and {Kent M. Eskridge}},
    year = {2020},
    note = {R package version 0.3.0},
    note = {https://myaseen208.github.io/DiallelAnalysisR/ },
    note = {https://cran.r-project.org/package=DiallelAnalysisR},

This free and open-source software implements academic research by the
authors and co-workers. If you use it, please support the project by
citing the package.