| predict.ammiBayes {ammiBayes} | R Documentation |
Bayesian AMMI for continuous data
Description
Extract predict values and HPD interval
Usage
## S3 method for class 'ammiBayes'
predict(object, prob=0.95, ...)
Arguments
object |
An object of class ammiBayes |
prob |
Probability for HPD interval. Default is 0.95 |
... |
Potential further arguments (required by generic). |
Author(s)
Luciano A. Oliveira
Carlos P. Silva
Cristian T. E. Mendes
Alessandra Q. Silva
Joel J. Nuvunga
Marcio Balestre
Julio S. S. Bueno-Filho
Fabio M. Correa
References
OLIVEIRA,L.A.; SILVA, C. P.; NUVUNGA, J. J.; SILVA, A. Q.; BALESTRE, M. Credible Intervals for Scores in the AMMI with Random Effects for Genotype. Crop Science, v. 55, p. 465-476, 2015. doi: https://doi.org/10.2135/cropsci2014.05.0369
SILVA, C. P.; OLIVEIRA, L. A.; NUVUNGA, J. J.; PAMPLONA, A. K. A.; BALESTRE, M. A Bayesian Shrinkage Approach for AMMI Models. Plos One, v. 10, p. e0131414, 2015. doi: https://doi.org/10.1371/journal.pone.0131414.
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)
predict(model)