Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models // Provides tools for Bayesian learning of spatiotemporal dynamical mechanistic models. Includes methods for parameter estimation, simulation, and inference using hierarchical and state-space modeling approaches, following Banerjee, Chen, Frankenburg and Zhou (2025) https://jmlr.org/papers/v26/22-0896.html.