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oppr: Optimal Project Prioritization

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 <https://www.gurobi.com>) because it can identify optimal solutions very quickly. Finally, methods are provided for comparing different prioritizations and evaluating their benefits. For more information, see Hanson et al. (2019) <doi:10.1111/2041-210X.13264>.

Version: 1.0.4
Depends: R (≥ 3.4.0)
Imports: utils, methods, stats, Matrix, magrittr (≥ 1.5), uuid (≥ 0.1.2), proto (≥ 1.0.0), cli (≥ 1.0.1), assertthat (≥ 0.2.0), tibble (≥ 2.0.0), ape (≥ 5.2), tidytree (≥ 0.3.3), ggplot2 (≥ 3.0.0), viridisLite (≥ 0.3.0), lpSolveAPI (≥ 5.5.2.0.17), withr (≥ 2.4.1)
LinkingTo: Rcpp (≥ 0.12.19), RcppArmadillo (≥ 0.9.100.5.0), RcppProgress (≥ 0.4.1)
Suggests: testthat (≥ 2.0.0), knitr (≥ 1.20), roxygen2 (≥ 6.1.0), rmarkdown (≥ 1.10), gurobi (≥ 8.0.0), Rsymphony (≥ 0.1.28), ggtree (≥ 2.4.2), lpsymphony (≥ 1.10.0), shiny (≥ 1.2.0), rhandsontable (≥ 0.3.7), tidyr (≥ 0.8.2)
Published: 2022-09-08
DOI: 10.32614/CRAN.package.oppr
Author: Jeffrey O Hanson ORCID iD [aut, cre], Richard Schuster ORCID iD [aut], Matthew Strimas-Mackey ORCID iD [aut], Joseph R Bennett ORCID iD [aut]
Maintainer: Jeffrey O Hanson <jeffrey.hanson at uqconnect.edu.au>
BugReports: https://github.com/prioritizr/oppr/issues
License: GPL-3
URL: https://prioritizr.github.io/oppr/
NeedsCompilation: yes
SystemRequirements: C++11
Language: en-US
Citation: oppr citation info
Materials: README NEWS
CRAN checks: oppr results

Documentation:

Reference manual: oppr.pdf
Vignettes: Optimal Project Prioritization

Downloads:

Package source: oppr_1.0.4.tar.gz
Windows binaries: r-devel: oppr_1.0.4.zip, r-release: oppr_1.0.4.zip, r-oldrel: oppr_1.0.4.zip
macOS binaries: r-release (arm64): oppr_1.0.4.tgz, r-oldrel (arm64): oppr_1.0.4.tgz, r-release (x86_64): oppr_1.0.4.tgz, r-oldrel (x86_64): oppr_1.0.4.tgz
Old sources: oppr archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=oppr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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