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bbsBayes  

Hierarchical Bayesian Analysis of North American BBS Data
View on CRAN: Click here


Download and install bbsBayes package within the R console
Install from CRAN:
install.packages("bbsBayes")

Install from Github:
library("remotes")
install_github("cran/bbsBayes")

Install by package version:
library("remotes")
install_version("bbsBayes", "2.5.3")



Attach the package and use:
library("bbsBayes")
Maintained by
Brandon P.M. Edwards
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-05-27
Latest Update:
Description:
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) ) and Canadian Wildlife Service (CWS, see Smith and Edwards (2020) ).
How to cite:
Brandon P.M. Edwards (2020). bbsBayes: Hierarchical Bayesian Analysis of North American BBS Data. R package version 2.5.3, https://cran.r-project.org/web/packages/bbsBayes. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:21), 2.2.1 (2020-05-27 12:30), 2.2.2 (2020-05-31 03:40), 2.3.2.2020 (2020-06-27 06:30), 2.3.3.2020 (2020-07-08 19:10), 2.3.4.2020 (2020-10-22 14:50), 2.3.5.2020 (2020-11-26 19:50), 2.3.6.2020 (2021-01-13 11:30), 2.3.7.2020 (2021-06-23 15:50), 2.3.8.2020 (2021-08-06 11:10), 2.4.0.2020 (2022-03-10 23:10), 2.4.1 (2022-04-05 15:52), 2.5.0 (2022-07-11 20:30), 2.5.1 (2022-07-19 09:50), 2.5.2 (2022-10-11 18:22), 2.5.3 (2023-02-27 19:32)
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