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This package was removed from CRAN on 2026-01-22. Its history is shown below.
Reason: issues were not corrected in time
Details below reflect version 1.5.0, its last release before removal.

spBFA

1.5.0

Spatial Bayesian Factor Analysis

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downloads / year
test coverage
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Overview

About
Maintained by Samuel I. Berchuck6 releasesCRAN page ↗

Implements a spatial Bayesian non-parametric factor analysis model with inference in a Bayesian setting using Markov chain Monte Carlo (MCMC). Spatial correlation is introduced in the columns of the factor loadings matrix using a Bayesian non-parametric prior, the probit stick-breaking process. Areal spatial data is modeled using a conditional autoregressive (CAR) prior and point-referenced spatial data is treated using a Gaussian process. The response variable can be modeled as Gaussian, probit, Tobit, or Binomial (using Polya-Gamma augmentation). Temporal correlation is introduced for the latent factors through a hierarchical structure and can be specified as exponential or first-order autoregressive. Full details of the package can be found in the accompanying vignette. Furthermore, the details of the package can be found in "Bayesian Non-Parametric Factor Analysis for Longitudinal Spatial Surfaces", by Berchuck et al (2019), doi:10.1214/20-BA1253 in Bayesian Analysis.

Install

Health

CRAN checks

CRAN check results are not tracked yet.

Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
8
Dependencies · direct

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
75%
Documented parameters
100%
Return-value docs
100%
References docs
33%

Downloads

Daily download trend is not available in this view yet.
Also on428 r2u13 autocran

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.0.2
Imports (8)
graphicsgrDevicesmsmmvtnormpgdrawRcppstatsutils
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
indirect (not tracked)

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • archivedRemoved from CRAN
    2026-01-22
    issues were not corrected in time
  • 1.5.0
    2026-01-07 · diff ↗
  • 1.4.0
    2025-09-30 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.3
    2023-03-21 · diff ↗
  • 1.2
    2022-09-04 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.1
    2021-04-27 · diff ↗
  • unarchivedReturned to CRAN
    2021-04-27
  • archivedRemoved from CRAN
    2021-04-21
    check problems were not corrected in time
  • R
    R 4.0.0 released · 2020-04-24
  • 1.0
    2019-10-30
Show 1 earlier events
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

Total releases
6
License
GPL (>= 2) OSI
Minimum R
≥ 3.0.2
Bundled data
2.3 MB / 1 file
Download size
not tracked yet
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("spBFA")
Berchuck, S. I. (n.d.). spBFA: Spatial Bayesian Factor Analysis (Version 1.5.0) [Computer software]. Retrieved August 13, 2026, from https://CRAN.R-project.org/package=spBFA

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for spBFA version 1.5.0 [Data set]. HJJB, LLC. Data release v2026-08-13. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-13, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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