<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Bayesian Models for Data from Unmarked Animals using 'Stan'</dc:title>
  <dc:title>R package ubms version 1.2.9</dc:title>
  <dc:description>Fit Bayesian hierarchical models of animal abundance and occurrence
    via the 'rstan' package, the R interface to the 'Stan' C++ library.
    Supported models include single-season occupancy, dynamic occupancy, and
    N-mixture abundance models. Covariates on model parameters are specified
    using a formula-based interface similar to package 'unmarked', while also
    allowing for estimation of random slope and intercept terms. References:
    Carpenter et al. (2017) &lt;doi:10.18637/jss.v076.i01&gt;;
    Fiske and Chandler (2011) &lt;doi:10.18637/jss.v043.i10&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.4.0), unmarked</dc:relation>
  <dc:relation>Imports: ggplot2 (&gt;= 2.0.0), gridExtra, loo, Matrix (&gt;= 1.5-0),
methods, pbapply, Rcpp (&gt;= 0.12.0), reformulas, rlang,
RSpectra, rstan (&gt;= 2.26.0), rstantools (&gt;= 2.0.0), stats</dc:relation>
  <dc:relation>LinkingTo: BH (&gt;= 1.66.0), Rcpp (&gt;= 0.12.0), RcppArmadillo (&gt;=
0.9.300.2.0), RcppEigen (&gt;= 0.3.3.3.0), rstan (&gt;= 2.26.0),
StanHeaders (&gt;= 2.26.0), RcppParallel (&gt;= 5.0.2)</dc:relation>
  <dc:relation>Suggests: knitr, raster, rmarkdown, terra, testthat</dc:relation>
  <dc:creator>Ken Kellner &lt;contact@kenkellner.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Ken Kellner [cre, aut]</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2026-04-22</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=ubms</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.ubms</dc:identifier>
</oai_dc:dc>
