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spFFBS

1.0-1Package record

Spatiotemporal Propagation for Multivariate Bayesian Dynamic Learning

0packages depend
2Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Implementation of the Forward Filtering Backward Sampling (FFBS) algorithm with Dynamic Bayesian Predictive Stacking (DYNBPS) integration for multivariate spatiotemporal models, as introduced in "Adaptive Markovian Spatiotemporal Transfer Learning in Multivariate Bayesian Modeling" (Presicce and Banerjee, 2026+) doi:10.48550/arXiv.2602.08544. This methodology enables efficient Bayesian multivariate spatiotemporal modeling, utilizing dynamic predictive stacking to improve inference across multivariate time series of spatial datasets. The core functions leverage 'C++' for high-performance computation, making the framework well-suited for large-scale spatiotemporal data analysis in parallel computing environments.

Install

Health

CRAN checks
13OK
Slowest check: 3.4 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-07-17
  • ERROR12 OK, 1 ERROR2026-06-11
  • OK13 OK2026-05-02
Show 2 earlier changesHide 2 earlier changes
  • NOTE9 OK, 1 NOTE2026-04-25
  • ERROR4 OK, 1 NOTE, 1 ERROR2026-04-23
Advisories

none known

Documentation

In release 1.0-1
READMEYes · 322 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsiteYes · pkgdown
Help pages
4 (2 internal)includes a package overview page
Examples that run
0%1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
50%
Documented parameters
94%
Return-value docs
100%
Help pages citing references
0%

Downloads

2K
CRAN downloads in the past year
Rank #21,984 · ~5/day · ~167/mo
Daily download trend is not available in this view yet.
16630 days
60390 days
2K1 year
Compare downloads with other packages →
Also on142 r2u

Repository

1Stars
0Forks
0Open issues
0Open PRs
0Releases
27Commits
1Commit identities
License file reads as GPL-3.0 · 27 commits · Last activity 2026-07-15
Responsiveness
not measured

Stars over time

2025-06-18 · 12026-07-07 · 1
PracticesBeta

7 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/lucapresicce/spffbs on 2026-10-22.

Continuous integration (1)
GitHub Actions
Docs source (3)
pkgdown

GitHub Pages site last deployed 2026-07-15 · The repository has a site deploy workflow

pkgdown site last built 2026-07-15

CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
13 external dependencies (excludes base and recommended)

Installing spFFBS adds 17 packages (16 with compiled code, 17 MB of source tarballs). Heaviest: clarabel 5.7 MB, Rcpp 1.8 MB, scs 1.8 MB.

Depends (0)
none
Imports (3)
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.0-2 (2026)
Releases (2)

Pick two releases to compare their code metrics.

  • 1.0-1Latest
    record
    2026-07-15 · current release · diff ↗ ·
    added 1 export
    make_prior
  • R
    R 4.6.0 released · 2026-04-24
  • 0.0-2
    record
    2026-04-22
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-04-22
Total releases
2 / 1 yrs
License
GPL (>= 3) OSI
Download size
352 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("spFFBS")
Presicce, L. (2026). spFFBS: Spatiotemporal Propagation for Multivariate Bayesian Dynamic Learning (Version 1.0-1) [Computer software]. https://doi.org/10.32614/CRAN.package.spFFBS

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 spFFBS version 1.0-1 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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