Package: oppr
Type: Package
Version: 1.0.5
Title: Optimal Project Prioritization
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 <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>.
Authors@R: 
    c(person(c('Jeffrey', 'O'), 'Hanson',
        email='jeffrey.hanson@uqconnect.edu.au', role = c('aut', 'cre'),
        comment = c(ORCID = '0000-0002-4716-6134')),
      person(c('Richard'), 'Schuster',
        email='mail@richard-schuster.com', role = c('aut'),
        comment = c(ORCID = '0000-0003-3191-7869')),
      person(c('Matthew'), 'Strimas-Mackey',
        email='mstrimas@gmail.com', role = c('aut'),
        comment = c(ORCID = '0000-0001-8929-7776')),
      person(c('Joseph', 'R'), 'Bennett',
        email='joseph.bennett@carleton.ca', role = c('aut'),
        comment = c(ORCID = '0000-0002-3901-9513')))
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)
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)
Depends: R(>= 3.4.0)
LinkingTo: Rcpp (>= 0.12.19), RcppArmadillo (>= 0.9.100.5.0),
        RcppProgress (>= 0.4.1)
License: GPL-3
LazyData: true
URL: https://prioritizr.github.io/oppr/
BugReports: https://github.com/prioritizr/oppr/issues
VignetteBuilder: knitr, rmarkdown
RoxygenNote: 7.3.2
Encoding: UTF-8
Language: en-US
Collate: 'internal.R' 'pproto.R' 'Parameter-proto.R'
        'ArrayParameter-proto.R' 'MiscParameter-proto.R'
        'Parameters-proto.R' 'ScalarParameter-proto.R' 'parameters.R'
        'waiver.R' 'ProjectModifier-proto.R' 'Constraint-proto.R'
        'Collection-proto.R' 'Decision-proto.R' 'Id.R'
        'Objective-proto.R' 'OptimizationProblem-proto.R'
        'OptimizationProblem-methods.R' 'ProjectProblem-proto.R'
        'RcppExports.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' 'tbl_df.R' 'add_manual_targets.R'
        'add_manual_locked_constraints.R'
        'add_max_phylo_div_objective.R' 'star_phylogeny.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'
        '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'
        'solution_statistics.R' 'plot.R' 'plot_feature_persistence.R'
        'plot_phylo_persistence.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' 'solve.R'
        'solvers.R' 'targets.R' 'weights.R' 'zzz.R'
NeedsCompilation: yes
Packaged: 2025-06-26 23:39:54 UTC; jeff
Author: Jeffrey O Hanson [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-4716-6134>),
  Richard Schuster [aut] (ORCID: <https://orcid.org/0000-0003-3191-7869>),
  Matthew Strimas-Mackey [aut] (ORCID:
    <https://orcid.org/0000-0001-8929-7776>),
  Joseph R Bennett [aut] (ORCID: <https://orcid.org/0000-0002-3901-9513>)
Maintainer: Jeffrey O Hanson <jeffrey.hanson@uqconnect.edu.au>
Repository: CRAN
Date/Publication: 2025-06-27 07:30:02 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2026-04-06 03:50:58 UTC; windows
Archs: x64
