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ammiBayes (version 2.1-1)

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

Description

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.

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Version

Install

install.packages('ammiBayes')

Monthly Downloads

287

Version

2.1-1

License

GPL (>= 2)

Maintainer

Fabio M. Correa

Last Published

March 2nd, 2026

Functions in ammiBayes (2.1-1)

AMMIGBlup

AMMIGBlup algorithm
detect.interaction

Detect GxE interaction
AMMI

AMMI algorithm
AMMIGBlupD

AMMIGBlupD algorithm
ammiBayes.mean.plot

Plot ammiBayes object
ammiDominance

Example dataset for running the AMMI, AMMIGBlup, and AMMIGBlupD models.
diagnosis.ammiBayes

Bayesian AMMI for ordinal data
ammiBayes.gen.plot

Plot genotype effects from ammiBayes object
ammiBayes

Bayesian Ammi Model for Continuous Data with or without additive and dominance effect
ammiBayes.conf.plot

Plot ammiBayes object with confidence region
ammiData

Dataset for example
summary.ammiBayes

Summary Method for ammiBayes object
gen.effects

Bayesian AMMI for continous data
predict.ammiBayes

Bayesian AMMI for continuous data