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:	1.0.2
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 (≥ 0.1.9), ggplot2 (≥ 3.0.0), viridisLite (≥ 0.3.0), lpSolveAPI (≥ 5.5.2.0.17)
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), ggtree (≥ 1.8.2), Rsymphony (≥ 0.1.28), lpsymphony (≥ 1.10.0), shiny (≥ 1.2.0), rhandsontable (≥ 0.3.7), tidyr (≥ 0.8.2)
Published:	2020-05-20
Author:	Jeffrey O Hanson [aut, cre], Richard Schuster [aut], Matthew Strimas-Mackey [aut], Joseph R Bennett [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, https://github.com/prioritizr/oppr
NeedsCompilation:	yes
SystemRequirements:	C++11
Citation:	oppr citation info
Materials:	README NEWS
CRAN checks:	oppr results

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