spDBL
Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models
v1.0.2
·
Jun 9, 2026
·
MIT + file LICENSE
Description
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>.
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1.0.2
Jun 9, 2026