R Observatory: Metrics for spBPS version 2.0-1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

spBPS

2.0-1

Bayesian Predictive Stacking for Scalable Geospatial Transfer Learning

1packages depend

39Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Luca PresicceFirst published 2024-10-253 releasesCRAN page ↗

Provides functions for Bayesian Predictive Stacking within the Bayesian transfer learning framework for geospatial artificial systems, as introduced in "Bayesian Transfer Learning for Artificially Intelligent Geospatial Systems: A Predictive Stacking Approach" (Presicce and Banerjee, 2025) doi:10.48550/arXiv.2410.09504. This methodology enables efficient Bayesian geostatistical modeling, utilizing predictive stacking to improve inference across spatial datasets. The core functions leverage 'C++' for high-performance computation, making the framework well-suited for large-scale spatial data analysis in parallel and distributed computing environments. Designed for scalability, it allows seamless application in computationally demanding scenarios.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("spBPS", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-spbps

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-spBPS

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-spBPS

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 5.6 min · r-devel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

3

Dependencies · direct

Check history

OK2026-08-04
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
WARNING2026-06-08
12 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
OK2026-05-02
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 4 earlier snapshots

NOTE2026-04-22
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-03-26
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-03-10
4 OK · 2 NOTE · 0 WARNING · 8 ERROR · 0 FAILURE

Documentation

READMEYes · 262 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo

Examples that run: 0%
Documented parameters: 100%
Return-value docs: 100%
References docs: 0%

Downloads

39K

CRAN downloads in the past year

Rank #6,580 · ~107/day · ~3.2K/mo

Releases R versions

Daily download trend is not available in this view yet.

26230 days

1.3K90 days

39K1 year

Compare downloads with other packages →

Also on423 r2u1 autocran

Repository

GitHub ↗ lucapresicce/spbps

0Stars

0Forks

0Open issues

0Open PRs

0Releases

License GPL-3.0 · Last activity 2026-05-07

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/lucapresicce/spbps on 2026-08-23.

Continuous integration (1)

GitHub Actions

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

19 external dependencies (excludes base and recommended)

Depends (1)

R >= 1.8.0

Imports (3)

Rcpp CVXR mniw

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (15)

knitr rmarkdown abind mvnfast ECOSolveR foreachparalleldoParallel tictoc MBA RColorBrewer classInt sp fields testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

spFFBS

Code & Tests

People & History

People (2)

Maintainer (1)

Luca Presicce

Author, Maintainer

Authors (2)

Luca Presicce

Author, Maintainer

Sudipto Banerjee

Author

Package Timeline

3 releases. Pick two to compare their code metrics. R releases are shown for context.

2.0-1Latest
2026-05-14 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
1.0-1
2026-03-19 · diff ↗
0.0-4
2026-03-10
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2024-10-25
Total releases: 3 / 2 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 1.8.0
Download size: 245 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("spBPS")

Format

Presicce, L., & Banerjee, S. (2026). spBPS: Bayesian Predictive Stacking for Scalable Geospatial Transfer Learning (Version 2.0-1) [Computer software]. https://doi.org/10.32614/CRAN.package.spBPS

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

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

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for spBPS version 2.0-1 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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