Package: bbsBayes2
Type: Package
Title: Hierarchical Bayesian Analysis of North American BBS Data
Version: 1.2026.0
Authors@R: c(person("Brandon P.M.", "Edwards", role = c("aut", "cre"),
                     email = "brandonedwards3@cmail.carleton.ca"),
              person("Adam C.", "Smith", role = "aut",
                      email = "adam.smith@ec.gc.ca"),
              person("Steffi", "LaZerte", role = "aut",
                      email = "steffi@steffi.ca"))
Imports: backports (>= 1.4.1), dplyr (>= 1.1.0), ggrepel, geofacet,
        ggplot2 (>= 3.4.0), HDInterval, magrittr, mgcv, posterior (>=
        1.2.1), purrr (>= 0.3.4), readr (>= 2.1.2), rlang (>= 0.4.11),
        sbtools, sf (>= 1.0.8), spdep (>= 1.2.7), snakecase, stringr,
        tidyr (>= 1.2.0), units (>= 0.8.0), withr (>= 2.5.0), cmdstanr
Depends: R (>= 3.5)
SystemRequirements: CmdStan
        (https://mc-stan.org/users/interfaces/cmdstan)
URL: https://github.com/bbsBayes/bbsBayes2,
        https://bbsbayes.github.io/bbsBayes2/
BugReports: https://github.com/bbsBayes/bbsBayes2/issues
NeedsCompilation: no
Description: The North American Breeding Bird Survey (BBS) is a
        long-running program that seeks to monitor the status and
        trends of birds that spend the breeding season in Canada and
        the United States. Since its start in 1966, the BBS has
        accumulated almost 60 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.
        'bbsBayes2' allows you to perform hierarchical Bayesian
        analysis of BBS data. You can fit 9 different models to the
        observations for one or more species, and you can take specify
        how the data should be stratified, what spatial and temporal
        extent of the data should be included, the settings for the
        sampling of the posterior distributions, access and modify the
        Stan models, and explore model diagnostics, including prior and
        posterior predictions, convergence, and measures of relative
        model fit (`loo` and cross-validation).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: bzip2
RoxygenNote: 7.3.3
Roxygen: list(markdown = TRUE)
Suggests: cmdstanr, covr, knitr, rmarkdown, rnaturalearth,
        rnaturalearthhires, roxygen2, testthat (>= 3.0.0)
Additional_repositories: https://mc-stan.org/r-packages/,
        https://ropensci.r-universe.dev
Config/testthat/edition: 3
VignetteBuilder: knitr
Config/pak/sysreqs: libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev
        libicu-dev libsecret-1-dev libssl-dev libproj-dev
        libsqlite3-dev libudunits2-dev libx11-dev
Repository: https://bbsbayes.r-universe.dev
Date/Publication: 2026-06-19 19:37:28 UTC
RemoteUrl: https://github.com/bbsBayes/bbsBayes2
RemoteRef: HEAD
RemoteSha: d09fa19300f664f40ea22d54958c163a71ab0fc1
Packaged: 2026-06-19 21:06:38 UTC; root
Author: Brandon P.M. Edwards [aut, cre],
  Adam C. Smith [aut],
  Steffi LaZerte [aut]
Maintainer: Brandon P.M. Edwards <brandonedwards3@cmail.carleton.ca>