Other packages > Find by keyword >

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 05 Jun. 2026.
Previous versions and publish date:
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)
Other packages that cited bbsBayes R package
View bbsBayes citation profile
Other R packages that bbsBayes depends, imports, suggests or enhances
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

msm  
Multi-State Markov and Hidden Markov Models in Continuous Time
Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal d ...
Download / Learn more Package Citations See dependency  
envirem  
Generation of ENVIREM Variables
Generation of bioclimatic rasters that are complementary to the typical 19 bioclim variables. ...
Download / Learn more Package Citations See dependency  
crossurr  
Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers
Doubly robust methods for evaluating surrogate markers as outlined in: Agniel D, Hejblum BP, Thiebau ...
Download / Learn more Package Citations See dependency  
ibb  
R Wrapper for Istanbul Municipality Open Data Portal
Call wrappers for Istanbul Metropolitan Municipality's Open Data Portal (Turkish: Istanbul B ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA