Bayesian Ammi Model for Continuous Data with or without Additive and Dominance Effect

Flexible multi-environment trials analysis via MCMC method for Additive Main Effects and Multiplicative Interaction 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.

Reference manual

install.packages("ammiBayes")

2.2-0 by Fabio M. Correa, a month ago

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

Authors: Fabio M. Correa [aut, cre] (ORCID: , Luciano A. Oliveira [aut] , Carlos P. Silva [aut] , Cristian T. E. Mendes [aut] , Alessandra Q. Silva [aut] , Joel J. Nuvunga [aut] , Larissa C. V. Boas [aut] , Marcio Balestre [ths] , Diogenes F. Filho [ths] , Julio S. S. Bueno-Filho [ths]

Documentation: PDF Manual

GPL (>= 2) license

Imports lattice, latticeExtra, distfree.cr, coda, spam, movMF, msm, bayesplot, Hmisc, MASS

Suggests ggpubr, R.rsp

See at CRAN

ammiBayes

Bayesian Ammi Model for Continuous Data with or without Additive and Dominance Effect

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