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spAbundance

0.2.1Package record

Univariate and Multivariate Spatial Modeling of Species Abundance

1packages depend
8.5Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Fits single-species (univariate) and multi-species (multivariate) non-spatial and spatial abundance models in a Bayesian framework using Markov Chain Monte Carlo (MCMC). Spatial models are fit using Nearest Neighbor Gaussian Processes (NNGPs). Details on NNGP models are given in Datta, Banerjee, Finley, and Gelfand (2016) doi:10.1080/01621459.2015.1044091 and Finley, Datta, and Banerjee (2022) doi:10.18637/jss.v103.i05. Fits single-species and multi-species spatial and non-spatial versions of generalized linear mixed models (Gaussian, Poisson, Negative Binomial), N-mixture models (Royle 2004 doi:10.1111/j.0006-341X.2004.00142.x) and hierarchical distance sampling models (Royle, Dawson, Bates (2004) doi:10.1890/03-3127). Multi-species spatial models are fit using a spatial factor modeling approach with NNGPs for computational efficiency.

Changes in 0.2.1
  • Fixed a C++ memory issue in predict.spAbund() that could result in crashes under certain situations.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 7.9 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • WARNING12 OK, 1 WARNING2026-06-08
  • OK12 OK2026-04-25
Show 1 earlier changeHide 1 earlier change
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.2.1
READMEYes · 1,109 wordsVignettes· In the repository, left out of the releaseNEWSYes · 100% structured · mentions 0.2.1Citation fileYes · cites a publicationWebsiteYes
Description cites a JSS article
Help pages
82
Examples that run
100%43 run in a plain check
Exported functions with examples
100%
Documented parameters
97%
Return-value docs
100%
Help pages citing references
27%

Downloads

8.5K
CRAN downloads in the past year
Rank #3,606 · ~23/day · ~712/mo
Daily download trend is not available in this view yet.
1K30 days
2.8K90 days
8.5K1 year
Compare downloads with other packages →
Also on428 r2u3 autocran

Repository

Moved from biodiverse/spabundance.

20Stars
2Forks
1Open issues
0Open PRs
0Releases
105Commits
1Commit identities
License file reads as GPL-3.0 · 105 commits · Last activity 2026-06-29 · Default branch at 0.2.2, ahead of CRAN 0.2.1 (checked 2026-10-22)
Responsiveness
not measured
PracticesBeta

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

Checks run against github.com/biodiverse/spabundance on 2026-10-22.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (1)
README.Rmd
Coverage (1)
Coverage reporting (Codecov)
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

Installing spAbundance adds 14 packages (7 with compiled code, 12 MB of source tarballs). Heaviest: lme4 4.3 MB, nloptr 2.1 MB, Rcpp 1.8 MB.

Depends (1)
R >= 3.5.0
Imports (8)
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Imports 1
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (2)
Author, Maintainer since 0.1.0 (2023)
Releases (5)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 0.2.1Latest
    record
    2024-10-06 · current release · diff ↗
  • 0.2.0
    record
    2024-09-26 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.3
    record
    2024-04-08 · diff ↗
  • 0.1.1
    record
    2024-03-22 · diff ↗
  • 0.1.0
    record
    2023-10-20
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-10-20
Total releases
5 / 3 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.5.0
Bundled data
62 KB / 6 files
Download size
624 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("spAbundance")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 spAbundance version 0.2.1 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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