R Observatory: Metrics for bbsBayes version 2.5.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2023-11-28. Its history is shown below.

Reason: requires archived package 'geofacet'

Details below reflect version 2.5.3, its last release before removal.

bbsBayes

2.5.3

Hierarchical Bayesian Analysis of North American BBS Data

0packages depend

–downloads / year

–test coverage

–checks pass

Overview

About

Maintained by Brandon P.M. Edwards15 releasesCRAN page ↗GitHub ↗

The North American Breeding Bird Survey (BBS) is a long-running program that seeks to monitor the status and trends of the breeding birds in North America. Since its start in 1966, the BBS has accumulated over 50 years of data for over 500 species of North American Birds. Given the temporal and spatial structure of the data, hierarchical Bayesian models are used to assess the status and trends of these 500+ species of birds. 'bbsBayes' allows you to perform hierarchical Bayesian analysis of BBS data. You can run a full model analysis for one or more species that you choose, or you can take more control and specify how the data should be stratified, prepared for 'JAGS', or modelled. The functions provided here allow you to replicate analyses performed by the United State Geological Survey (USGS, see Link and Sauer (2011) doi:10.1525/auk.2010.09220) and Canadian Wildlife Service (CWS, see Smith and Edwards (2020) doi:10.1101/2020.03.26.010215).

Install

R (source archive)pak (dev)Ubuntu (r2u)openSUSE (OBS)

url <- "https://cran.r-project.org/src/contrib/Archive/bbsBayes/bbsBayes_2.5.3.tar.gz"
pkgFile <- "bbsBayes_2.5.3.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (2.5.3) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("bbsBayes/bbsBayes")

Development version from bbsBayes/bbsBayes. Installs pak first if it is not already available.

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-bbsbayes

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

# 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-bbsBayes

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

Health

CRAN checks

CRAN check results are not tracked yet.

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

13

Dependencies · direct

Documentation

READMEYes · 3,107 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 97%
Return-value docs: 100%
References docs: 0%

Downloads

Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on125 r2u3 autocran

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5

Imports (13)

progress jagsUI ggrepel geofacet ggplot2 stringrgrDevicesdplyr sftoolsrappdirs sbtoolsmgcv

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)

Maintainer (1)

Brandon P.M. Edwards

Author, Maintainer

Authors (2)

Brandon P.M. Edwards

Author, Maintainer

Adam C. Smith

Author

Package Timeline

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

R
R 4.4.0 released · 2024-04-24
archivedRemoved from CRAN
2023-11-28
requires archived package 'geofacet'
R
R 4.3.0 released · 2023-04-21
2.5.3
2023-02-27 · diff ↗
2.5.2
2022-10-11 · diff ↗
2.5.1
2022-07-19 · diff ↗
2.5.0
2022-07-11 · diff ↗
unarchivedReturned to CRAN
2022-07-11
archivedRemoved from CRAN
2022-06-11
check issues were not corrected in time
R
R 4.2.0 released · 2022-04-22
2.4.1
2022-04-05 · diff ↗
2.4.0.2020
2022-03-10 · diff ↗
2.3.8.2020
2021-08-06 · diff ↗
2.3.7.2020
2021-06-23 · diff ↗
R
R 4.1.0 released · 2021-05-18
2.3.6.2020
2021-01-13 · diff ↗

Show 7 earlier events

2.3.5.2020
2020-11-26 · diff ↗
2.3.4.2020
2020-10-22 · diff ↗
2.3.3.2020
2020-07-08 · diff ↗
2.3.2.2020
2020-06-27 · diff ↗
2.2.2
2020-05-31 · diff ↗
2.2.1
2020-05-27
R
R 4.0.0 released · 2020-04-24

Package metadata

Total releases: 15
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5
Bundled data: 171 KB / 3 files
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("bbsBayes")

Format

Edwards, B. P. M., & Smith, A. C. (n.d.). bbsBayes: Hierarchical Bayesian Analysis of North American BBS Data (Version 2.5.3) [Computer software]. Retrieved August 14, 2026, from https://CRAN.R-project.org/package=bbsBayes

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 bbsBayes version 2.5.3 [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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