ProbBreed-package {ProbBreed} | R Documentation |
ProbBreed uses probability theory under the Bayesian framework for calculating the risk of selecting candidates in a multi-environment context. Contained are functions used to fit a Bayesian multi-environment model (based on the available presets), extract posterior values and maximum posterior values, compute the variance components, check the model’s convergence, and calculate the probabilities. For both across and within-environments scopes, the package computes the probability of superior performance and the pairwise probability of superior performance. Furthermore, the probability of superior stability and the pairwise probability of superior stability across environments is estimated.
Maintainer: Saulo Chaves saulo.chaves@ufv.br (ORCID)
Authors:
Kaio Dias kaio.o.dias@ufv.br (ORCID) [copyright holder]
Matheus Krause mdkrause@iastate.edu (ORCID)
Stan Development Team (NA). RStan: the R interface to Stan. R package version 2.32.6. https://mc-stan.org
Dias, K. O. G, Santos J. P. R., Krause, M. D., Piepho H. -P., Guimarães, L. J. M., Pastina, M. M., and Garcia, A. A. F. (2022). Leveraging probability concepts for cultivar recommendation in multi-environment trials. Theoretical and Applied Genetics, 133(2):443-455. doi:10.1007/s00122-022-04041-y
Useful links:
Report bugs at https://github.com/saulo-chaves/ProbBreed/issues