sm.index: Bayesian Stability Mahalanobis Distance Index

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

Bayesian Stability Mahalanobis Distance Index

Description

Computes the Bayesian Stability Mahalanobis Distance index for genotypes based on MCMC samples from ammiBayes function.

Usage

sm.index(object, prob=0.95)

Arguments

object	An object of class ammiBayes.
prob	A numeric scalar between 0 and 1 giving the target probability interval (default is 0.95).

Author(s)

Luciano A. Oliveira
Carlos P. Silva
Cristian T. E. Mendes
Alessandra Q. Silva
Joel J. Nuvunga
Larissa C. V. Boas
Julio S. S. Bueno-Filho
Diogenes F. Filho
Fabio M. Correa

References

Nascimento, A.C.C, Nascimento, M., Sagae, V.S., Jarquin, D. (2005). Bayesian AMMI-based indexes for genotype selection: Integrating novel stability measures for enhaced G x E inference. Crop Science, e20732.

Examples

library(ammiBayes)
data(ammiData)

Env  <- factor(ammiData$amb)
Rep <- factor(ammiData$rep)
Gen  <- factor(ammiData$gen)
Y  <- ammiData$prod

model <- ammiBayes(Y=Y, Gen=Gen, Env=Env, Rep=Rep, iter=10, 
									 burn=1, jump=2, chains=2)

out <- sm.index(model)
print(out$statistics)

ammiBayes documentation built on Aug. 24, 2026, 5:14 p.m.