ammiBayes: Bayesian Ammi Model for Continuous Data

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.

Version: 1.0-1
Depends: R (≥ 4.0.0)
Imports: lattice, latticeExtra,, coda, spam, movMF, msm, bayesplot, Hmisc
Suggests: ggpubr, R.rsp
Published: 2022-03-14
Author: Luciano A. Oliveira [aut], Carlos P. Silva [aut], Cristian T. E. Mendes [aut], Alessandra Q. Silva [aut], Joel J. Nuvunga [aut], Marcio Balestre [ths], Julio S. S. Bueno-Filho [ths], Fabio M. Correa ORCID iD [aut, cre]
Maintainer: Fabio M. Correa <f.correa at>
Contact: Fabio Mathias Correa <>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: see file COPYRIGHTS
NeedsCompilation: no
Citation: ammiBayes citation info
Materials: ChangeLog
In views: Bayesian
CRAN checks: ammiBayes results


Reference manual: ammiBayes.pdf
Vignettes: Bayesian AMMI model for continuous data


Package source: ammiBayes_1.0-1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ammiBayes_1.0-1.tgz, r-oldrel (arm64): ammiBayes_1.0-1.tgz, r-release (x86_64): ammiBayes_1.0-1.tgz, r-oldrel (x86_64): ammiBayes_1.0-1.tgz
Old sources: ammiBayes archive


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