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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| Flavor | Status |
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| r-devel-linux-x86_64-debian-gcc | OK |
| r-devel-linux-x86_64-fedora-clang | OK |
| r-devel-linux-x86_64-fedora-gcc | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
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OK 9 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Jun 10, 2026
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1.0.2
Jun 9, 2026