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oppr  

Optimal Project Prioritization
View on CRAN: Click here


Download and install oppr package within the R console
Install from CRAN:
install.packages("oppr")

Install from Github:
library("remotes")
install_github("cran/oppr")

Install by package version:
library("remotes")
install_version("oppr", "1.0.5")



Attach the package and use:
library("oppr")
Maintained by
Jeffrey O Hanson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-18
Latest Update: 2025-06-27
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 ) 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) .
How to cite:
Jeffrey O Hanson (2019). oppr: Optimal Project Prioritization. R package version 1.0.5, https://cran.r-project.org/web/packages/oppr. Accessed 07 Mar. 2026.
Previous versions and publish date:
0.0.1 (2019-03-18 18:30), 0.0.2 (2019-03-21 00:30), 0.0.3 (2019-04-10 23:43), 0.0.4 (2019-08-11 00:30), 1.0.0 (2020-02-07 13:10), 1.0.1 (2020-03-11 12:20), 1.0.2 (2020-05-20 12:10), 1.0.3 (2021-05-12 02:50), 1.0.4 (2022-09-08 13:00)
Other packages that cited oppr R package
View oppr citation profile
Other R packages that oppr depends, imports, suggests or enhances
Complete documentation for oppr
Functions, R codes and Examples using the oppr R package
Some associated functions: ArrayParameter-class . Collection-class . Constraint-class . Decision-class . MiscParameter-class . Objective-class . OptimizationProblem-class . OptimizationProblem-methods . Parameter-class . Parameters-class . ProjectModifier-class . ProjectProblem-class . ScalarParameter-class . Solver-class . Target-class . Weight-class . action_names . add_absolute_targets . add_binary_decisions . add_default_solver . add_feature_weights . add_gurobi_solver . add_heuristic_solver . add_locked_in_constraints . add_locked_out_constraints . add_lpsolveapi_solver . add_lsymphony_solver . add_manual_locked_constraints . add_manual_targets . add_max_phylo_div_objective . add_max_richness_objective . add_max_targets_met_objective . add_min_set_objective . add_random_solver . add_relative_targets . add_rsymphony_solver . array_parameters . as.list . as . branch_matrix . compile . constraints . decisions . feature_names . is . matrix_parameters . misc_parameter . new_id . new_optimization_problem . new_waiver . number_of_actions . number_of_features . number_of_projects . objectives . oppr . parameters . pipe . plot.ProjectProblem . plot_feature_persistence . plot_phylo_persistence . pproto . print . problem . project_cost_effectiveness . project_names . replacement_costs . scalar_parameters . show . sim_data . simulate_ppp_data . simulate_ptm_data . solution_statistics . solve . solvers . targets . tee . tibble-methods . weights . 
Some associated R codes: ArrayParameter-proto.R . Collection-proto.R . Constraint-proto.R . Decision-proto.R . Id.R . MiscParameter-proto.R . Objective-proto.R . OptimizationProblem-methods.R . OptimizationProblem-proto.R . Parameter-proto.R . Parameters-proto.R . ProjectModifier-proto.R . ProjectProblem-proto.R . RcppExports.R . ScalarParameter-proto.R . Solver-proto.R . Target-proto.R . Weight-proto.R . action_names.R . add_absolute_targets.R . add_binary_decisions.R . add_default_solver.R . add_feature_weights.R . add_gurobi_solver.R . add_heuristic_solver.R . add_locked_in_constraints.R . add_locked_out_constraints.R . add_lpsolveapi_solver.R . add_lpsymphony_solver.R . add_manual_locked_constraints.R . add_manual_targets.R . add_max_phylo_div_objective.R . add_max_richness_objective.R . add_max_targets_met_objective.R . add_min_set_objective.R . add_random_solver.R . add_relative_targets.R . add_rsymphony_solver.R . branch_matrix.R . compile.R . constraints.R . data.R . decisions.R . feature_names.R . internal.R . magrittr-operators.R . misc.R . new_optimization_problem.R . number_of_actions.R . number_of_features.R . number_of_projects.R . objectives.R . package.R . parameters.R . plot.R . plot_feature_persistence.R . plot_phylo_persistence.R . pproto.R . predefined_optimization_problem.R . print.R . problem.R . project_cost_effectiveness.R . project_names.R . rake_phylogeny.R . replacement_costs.R . show.R . simulate_ppp_data.R . simulate_ptm_data.R . solution_statistics.R . solve.R . solvers.R . star_phylogeny.R . targets.R . tbl_df.R . waiver.R . weights.R . zzz.R .  Full oppr package functions and examples
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