Description Usage Arguments Value Author(s) References Examples
This function performance the GIBBS sampler for analyze reginals trials.
1 2 3 4 5 |
data |
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gen_c |
Number of the column from de data.frame with the genotypes information. |
env_c |
Number of the column from de data.frame with the environment information. |
blk_c |
Number of the column from de data.frame with the block information. |
y_c |
Number of the column from de data.frame with the phenotype information. |
prior.g |
Vector with prior information of the means of genotypes |
prior.vg |
Vector with prior information of the variances of the means of genotypes |
prior.b |
Vector with prior information of the variances of block within environment |
prior.dfb |
Vector with prior information of hyperparameter degree of credibility of the variances of block within environment. |
prior.sv |
Vector with prior information of the stability's variances |
prior.dfsv |
Vector with prior information of hyperparameter degree of credibility of the stability's variances. |
prior.se |
Vector with prior information of the error's variances |
prior.dfse |
Vector with prior information of hyperparameter degree of credibility of the variances of error. |
burnin |
Number of iteration to be consider as burn-in period. This period is not saved in the final result. |
thin |
The thinning interval between consecutive observations. This interval is not saved in the final result. |
niter |
Numbers of iterations to be saved |
saveAt |
Save object outtS4 with samples of the posterior distribution on the work directory each "saveAt" iteration |
Matrix with samples of the posterior distribution
Jose Miguel Cotes Torres jmcotes@unal.edu.co
Cotes Torres, J. M., Gonzalez Jaimes, E. P., & Cotes Torres, A. (2016). Seleccion de Genotipos con Alta Respuesta y Estabilidad Fenotipica en Pruebas Regionales: Recuperando el Concepto Biologico. Revista Facultad De Ciencias Basicas, 8(2), 226-243.
1 2 3 | ##data(datos)
##m<-RGEgibbs(data=datos,gen_c=5,env_c=1,blk_c=4,y_c=9,
##thin=5,burnin=100,niter=10000,saveAt=1000)
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