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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:1.0.5
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 (≥ 3.5.0),viridisLite (≥ 0.3.0),lpSolveAPI (≥5.5.2.0.17),withr (≥ 2.4.1),rlang (≥ 1.1.3)
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),fansi (≥ 1.0.6)
Published:2025-06-27
DOI:10.32614/CRAN.package.oppr
Author:Jeffrey O HansonORCID iD [aut, cre], Richard SchusterORCID iD [aut], Matthew Strimas-MackeyORCID iD [aut], Joseph R BennettORCID 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
Language:en-US
Citation:oppr citation info
Materials:README,NEWS
CRAN checks:oppr results

Documentation:

Reference manual:oppr.html ,oppr.pdf
Vignettes:Optimal Project Prioritization (source)

Downloads:

Package source: oppr_1.0.5.tar.gz
Windows binaries: r-devel:oppr_1.0.5.zip, r-release:oppr_1.0.5.zip, r-oldrel:oppr_1.0.5.zip
macOS binaries: r-release (arm64):oppr_1.0.5.tgz, r-oldrel (arm64):oppr_1.0.5.tgz, r-release (x86_64):oppr_1.0.5.tgz, r-oldrel (x86_64):oppr_1.0.5.tgz
Old sources: oppr archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=opprto link to this page.


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