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ammiBayes  

Bayesian Ammi Model for Continuous Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ammiBayes", "1.0-2")



Attach the package and use:
library("ammiBayes")
Maintained by
Fabio M. Correa
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-08
Latest Update: 2022-03-14
Description:
Flexible multi-environment trials analysis via MCMC method for Additive Main Effects and Multiplicative Model (AMMI) for continuous data. Biplot with the averages and regions of confidence can be generated. The chains run in parallel on Linux systems and run serially on Windows.
How to cite:
Fabio M. Correa (2022). ammiBayes: Bayesian Ammi Model for Continuous Data. R package version 1.0-2, https://cran.r-project.org/web/packages/ammiBayes. Accessed 06 Nov. 2024.
Previous versions and publish date:
1.0-0 (2022-02-08 17:20), 1.0-1 (2022-03-14 17:10)
Other packages that cited ammiBayes R package
View ammiBayes citation profile
Other R packages that ammiBayes depends, imports, suggests or enhances
Complete documentation for ammiBayes
Functions, R codes and Examples using the ammiBayes R package
Some associated functions: ammiBayes.conf.plot . ammiBayes.gen.plot . ammiBayes.mean.plot . ammiBayes . ammiData . diagnosis.ammmiBayes . gen.effects . predict.ammiBayes . summary.ammiBayes . 
Some associated R codes: graphics.R . main.R . output.R .  Full ammiBayes package functions and examples
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