Description
Bayesian R-matrix inference can be run for specialized scientific analysis workflows. It is useful for researchers who understand the input models and need statistical inference around R-matrix calculations.
The results are scientific model outputs, not general-purpose predictions. Correct interpretation depends on domain knowledge, data quality, priors, and model assumptions.