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spDBL

1.0.2Package record

Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models

0packages depend
1Kdownloads / year
0.3%test coverage
13/13flavors OK

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: 4.7 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK9 OK2026-06-10
Advisories

none known

Documentation

In release 1.0.2
READMEYes · 726 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
73 (1 internal)includes a package overview page
Examples that run
100%1 run in a plain check
Exported functions with examples
1%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

1K
CRAN downloads in the past year
Rank #21,398 · ~3/day · ~85/mo
Daily download trend is not available in this view yet.
19130 days
62690 days
1K1 year
Compare downloads with other packages →
Also on68 r2u2 autocran

Dependencies

Declared dependencies
20 external dependencies (excludes base and recommended)

Installing spDBL adds 88 packages (42 with compiled code, 76 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, doBy 4.3 MB.

Depends (1)
R >= 4.0
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 1.0.2 (2026)
Releases (1)
  • 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
1.6 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("spDBL")

The package provides a citation file, so citation() returns the authors' own entry.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for spDBL version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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