spDBL
1.0.2Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models
0packages depend
401downloads / year
27.3%test coverage
13/13checks pass
Overview
About
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.
Install
Health
CRAN checks
13OK
Slowest check: 4.4 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.00
27.3%
Coverage · measured lines
100%
Documentation · exports
16
Dependencies · direct
Check history
- OK2026-06-109 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
Documentation
READMEYes · 726 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
401
CRAN downloads in the past year
Rank #23,728 · ~1/day · ~33/mo
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17030 days
40190 days
4011 year
Also on21 r2u
Dependencies
Declared dependencies
20 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0
Imports (16)
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Nothing depends on this yet.
Code & Tests
People & History
People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Author
Package Timeline
1 release. R releases are shown for context.
- 1.0.2Latest2026-06-09 · current release
- RR 4.6.0 released · 2026-04-24
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Package metadata
- First published
- 2026-06-09
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.0
- Bundled data
- 735 KB / 1 file
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet