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spDBL

1.0.2

Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models

0packages depend
401downloads / year
27.3%test coverage
13/13checks pass

Overview

About
Maintained by Xiang ChenFirst published 2026-06-091 releasesCRAN page ↗

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
  • OK2026-06-10
    9 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
Daily download trend is not available in this view yet.
17030 days
40190 days
4011 year
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Dependencies

Declared dependencies
20 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0
LinkingTo (2)
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
Package Timeline

1 release. R releases are shown for context.

  • 1.0.2Latest
    2026-06-09 · current release
  • R
    R 4.6.0 released · 2026-04-24

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
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