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<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>Optimal Project Prioritization</dc:title>
  <dc:title>R package oppr version 1.1.0</dc:title>
  <dc:description>A decision support tool for prioritizing conservation projects.
    Prioritizations can be developed by maximizing expected feature richness,
    expected phylogenetic diversity, the number of features that meet
    persistence targets, or identifying a set of projects that meet persistence
    targets for minimal cost. Constraints (e.g. lock in specific actions) and
    feature weights can also be specified to further customize prioritizations.
    After defining a project prioritization problem, solutions can be obtained
    using exact algorithms, heuristic algorithms, or random processes. In
    particular, it is recommended to install the 'Gurobi' optimizer (available
    from &lt;https://www.gurobi.com&gt;) because it can identify optimal solutions
    very quickly. The 'rcbc' R package (available at
    &lt;https://github.com/dirkschumacher/rcbc&gt;) can also be used to generate
    solutions using the CBC optimization software
    (&lt;https://github.com/coin-or/Cbc&gt;). Finally, methods are provided for
    comparing different prioritizations and evaluating their benefits.
    For more information, see Hanson et al. (2019)
    &lt;doi:10.1111/2041-210X.13264&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R(&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: utils, methods, stats, Matrix (&gt;= 1.3-0), magrittr (&gt;= 1.5),
R6 (&gt;= 2.5.1), cli (&gt;= 1.0.1), assertthat (&gt;= 0.2.0), tibble
(&gt;= 2.0.0), ape (&gt;= 5.2), tidytree (&gt;= 0.3.3), ggplot2 (&gt;=
3.5.0), highs (&gt;= 1.10.0.3), viridisLite (&gt;= 0.3.0), withr (&gt;=
2.4.1), rlang (&gt;= 1.1.3)</dc:relation>
  <dc:relation>LinkingTo: Rcpp (&gt;= 0.12.19), RcppArmadillo (&gt;= 0.9.100.5.0),
RcppProgress (&gt;= 0.4.1)</dc:relation>
  <dc:relation>Suggests: testthat (&gt;= 2.0.0), knitr (&gt;= 1.20), roxygen2 (&gt;= 6.1.0),
rmarkdown (&gt;= 1.10), gurobi (&gt;= 13.0.0), Rsymphony (&gt;= 0.1.28),
ggtree (&gt;= 2.4.2), lpsymphony (&gt;= 1.10.0), lpSolveAPI (&gt;=
5.5.2.0.17), rcbc (&gt;= 0.1.0.9003), fansi (&gt;= 1.0.6)</dc:relation>
  <dc:creator>Jeffrey O Hanson &lt;jeffrey.hanson@uqconnect.edu.au&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Jeffrey O Hanson [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-4716-6134&gt;),
  Richard Schuster [aut] (ORCID: &lt;https://orcid.org/0000-0003-3191-7869&gt;),
  Matthew Strimas-Mackey [aut] (ORCID:
    &lt;https://orcid.org/0000-0001-8929-7776&gt;),
  Joseph R Bennett [aut] (ORCID: &lt;https://orcid.org/0000-0002-3901-9513&gt;)</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2026-05-27</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=oppr</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.oppr</dc:identifier>
  <dc:language>en-US</dc:language>
</oai_dc:dc>
