Bayesian Estimation of the Additive Main Effects and Multiplicative Interaction Model

Performs Bayesian estimation of the additive main effects and multiplicative interaction (AMMI) model. The method is explained in Crossa, J., Perez-Elizalde, S., Jarquin, D., Cotes, J.M., Viele, K., Liu, G. and Cornelius, P.L. (2011) ().


bayesammi: Bayesian Estimation of the Additive Main Effects and Multiplicative Interaction Model

Version : 0.3.0; Copyright (C) 2018-2024: License: GPL-2|GPL-3
Muhammad Yaseen1,2, Jose Crossa3,4,5,6, Sergio Perez-Elizalde7, Diego Jarquin8, Jose Miguel Cotes9, Kert Viele10, Genzhou Liu11, Paul L. Cornelius12, Julian Garcia Abadillo Velasco12
  1. School of Mathematical & Statistical Sciences, Clemson University, Clemson, South Carolina, USA
  2. Department of Mathematics & Statistics, University of Agriculture Faisalabad, Pakistan
  3. Department of Statistics and Operations Research, and Distinguish Scientist Fellowship Program, King Saud University, Riyah, Saudi Arabia
  4. AgCenter, Louisiana State University, Baton Rouge, Louisiana, USA
  5. Colegio de Postgraduados, Montecillos, Mexico
  6. International Maize and Wheat Improvement Center (CIMMYT), Mexico-Veracruz, Mexico
  7. Colegio de Postgraduados, Montecillo,Estado de México 56230, México
  8. Agronomy Department, University of Florida, Gainesville, FL, United States
  9. Dep. de Ciencias Agrono ́ micas, Facultad de CienciasAgropecuarias, Univ. Nacional de Colombia, Calle 59A No 63–20 B11101-07, Medellı́n, Colombia
  10. Department of Statistics, University of Kentucky, Lexington, KY, 40546-03121, USA
  11. Auxilium Pharmaceuticals, Inc., PA, USA
  12. Department of Plant and Soil Sciences and Department of Statistics, University of Kentucky, Lexington, KY, 40546-03121, USA

minimal Rversion License: GPLv3 CRAN_Status_Badge rstudio mirrordownloads

develVersion

Project Status:WIP lifecycle Last-changedate ***

Description

Performs Bayesian estimation of the additive main effects and multiplicative interaction (AMMI) model. The method is explained in Crossa, J., Perez-Elizalde, S., Jarquin, D., Cotes, J.M., Viele, K., Liu, G. and Cornelius, P.L. (2011) (doi:10.2135/cropsci2010.06.0343).

Installation

The package can be installed from CRAN as follows:

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

The development version can be installed from github as follows:

if (!require("remotes")) install.packages("remotes")
remotes::install_github("myaseen208/bayesammi")

What’s new

To know whats new in this version type:

news(package = "bayesammi")

Links

CRAN page

Github page

Documentation website

Citing bayesammi

To cite the methods in the package use:

citation("bayesammi")
Please, support this project by citing it in your publications!

  Yaseen M, Crossa J, Perez-Elizalde S, Jarquin D, Cotes JM, Viele K,
  Liu G, Cornelius PL (2018). _bayesammi: Bayesian Estimation of the
  Additive Main Effects and Multiplicative Interaction Model_.

A BibTeX entry for LaTeX users is

  @Manual{,
    title = {bayesammi: Bayesian Estimation of the Additive Main Effects and Multiplicative Interaction Model},
    author = {Muhammad Yaseen and Jose Crossa and Sergio Perez-Elizalde and Diego Jarquin and Jose Miguel Cotes and Kert Viele and Genzhou Liu and Paul L. Cornelius},
    year = {2018},
    journal = {The Comprehensive R Archive Network (CRAN)},
  }

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("bayesammi")

0.3.0 by Muhammad Yaseen, 2 years ago


Browse source code at https://github.com/cran/bayesammi


Authors: Muhammad Yaseen [aut, cre] , Jose Crossa [aut, ctb] , Sergio Perez-Elizalde [aut, ctb] , Diego Jarquin [aut, ctb] , Jose Miguel Cotes [aut, ctb] , Kert Viele [aut, ctb] , Genzhou Liu [aut, ctb] , Paul L. Cornelius [aut, ctb] , Julian Garcia Abadillo Velasco [aut, ctb]


Documentation:   PDF Manual  


GPL-2 license


Imports dplyr, ggplot2, ggrepel, ks, lme4, magrittr, MASS, mvtnorm, purrr, rlang, rstiefel, scales, stats, tibble, tidyr, tmvtnorm


See at CRAN