Other packages > Find by keyword >

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", "1.1.0")



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 1.1.0, https://cran.r-project.org/web/packages/oppr. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:37), 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), 1.0.5 (2025-06-27 09:30)
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

skewlmm  
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency  
PairedData  
Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency  
splm  
Econometric Models for Spatial Panel Data
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
blandr  
Bland-Altman Method Comparison
Carries out Bland Altman analyses (also known as a Tukey mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency  
ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA