## ProbBreed - Probability Theory for Selecting Candidates in Plant Breeding

Use probability theory under the Bayesian framework for
calculating the risk of selecting candidates in a
multi-environment context [Dias et al. (2022)
<doi:10.1007/s00122-022-04041-y>]. 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
modelâ€™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. A joint
probability of superior performance and stability is also
provided.