BreedReliabR - Decision Reliability for Genotype Advancement under Prediction and Target Environment Uncertainty

A model-agnostic research layer for genotype advancement decisions from externally fitted genomic prediction models. It propagates full joint coefficient prediction-error covariance together with finite sampling from a specified target population of environments to calculate conditional advancement probabilities, expected selected-set reliability, and the relative contributions of prediction and target-environment uncertainty. It also compares uncertainty formulations and reports geometric support diagnostics. Probabilities are conditional on supplied inputs and are not guaranteed to be calibrated in new populations or environments.