Package: prioritizr
Type: Package
Version: 4.1.5
Title: Systematic Conservation Prioritization in R
Description: Conservation prioritization using integer
    programming techniques. To solve large-scale problems, users
    should install the 'gurobi' optimizer
    (available from <http://www.gurobi.com/>).
Authors@R: c(person(c('Jeffrey', 'O'), 'Hanson',
               email='jeffrey.hanson@uqconnect.edu.au', role = c('aut')),
             person(c('Richard'), 'Schuster',
               email='richard.schuster@glel.carleton.ca', role = c('aut', 'cre')),
             person(c('Nina'), 'Morrell',
               email='nina.morrell@ubc.ca', role = c('aut')),
             person(c('Matthew'), 'Strimas-Mackey',
               email='mstrimas@gmail.com', role = c('aut')),
             person(c('Matthew', 'E'), 'Watts',
               email='m.watts@uq.edu.au', role = c('aut')),
             person(c('Peter'), 'Arcese',
               email='peter.arcese@ubc.ca', role = c('aut')),
             person(c('Joseph'), 'Bennett',
               email='joseph.bennett@carleton.ca', role = c('aut')),
             person(c('Hugh', 'P'), 'Possingham',
               email='hugh.possingham@tnc.org', role = c('aut')))
Imports: utils, methods, assertthat(>= 0.2.0), data.table, uuid,
        Matrix, igraph, ape, rgeos, plyr, parallel, doParallel,
        magrittr, tibble(>= 2.0.0)
Suggests: testthat, knitr, roxygen2, shiny, xtable, rhandsontable,
        RandomFields, velox, maptools, PBSmapping, spdep, gurobi,
        lpsymphony, Rsymphony, rmarkdown, prioritizrdata
Depends: R(>= 3.4.0), raster, sp, proto
LinkingTo: Rcpp, RcppArmadillo, BH
License: GPL-3
Language: en-US
LazyData: true
SystemRequirements: C++11
URL: https://prioritizr.net, https://github.com/prioritizr/prioritizr
BugReports: https://github.com/prioritizr/prioritizr/issues
VignetteBuilder: knitr
RoxygenNote: 6.1.1
Collate: 'internal.R' 'pproto.R' 'Parameter-proto.R'
        'ArrayParameter-proto.R' 'MiscParameter-proto.R'
        'Parameters-proto.R' 'ScalarParameter-proto.R' 'parameters.R'
        'waiver.R' 'ConservationModifier-proto.R' 'Penalty-proto.R'
        'Constraint-proto.R' 'Collection-proto.R' 'category_vector.R'
        'category_layer.R' 'binary_stack.R'
        'ConservationProblem-proto.R' 'Decision-proto.R' 'Id.R'
        'Objective-proto.R' 'OptimizationProblem-proto.R'
        'OptimizationProblem-methods.R' 'Portfolio-proto.R'
        'RcppExports.R' 'Solver-proto.R' 'Target-proto.R' 'zones.R'
        'add_absolute_targets.R' 'add_binary_decisions.R'
        'marxan_boundary_data_to_matrix.R' 'add_boundary_penalties.R'
        'add_connectivity_penalties.R' 'add_contiguity_constraints.R'
        'add_cuts_portfolio.R' 'add_default_decisions.R'
        'add_default_objective.R' 'add_default_portfolio.R'
        'add_default_solver.R' 'add_default_targets.R'
        'add_feature_contiguity_constraints.R' 'add_feature_weights.R'
        'add_gurobi_solver.R' 'intersecting_units.R'
        'add_locked_in_constraints.R' 'add_locked_out_constraints.R'
        'loglinear_interpolation.R' 'add_loglinear_targets.R'
        'add_lpsymphony_solver.R'
        'add_mandatory_allocation_constraints.R' 'tbl_df.R'
        'add_manual_targets.R' 'add_manual_bounded_constraints.R'
        'add_manual_locked_constraints.R' 'add_max_cover_objective.R'
        'add_max_features_objective.R' 'add_max_phylo_div_objective.R'
        'add_max_phylo_end_objective.R' 'add_max_utility_objective.R'
        'add_min_set_objective.R' 'add_min_shortfall_objective.R'
        'add_neighbor_contraints.R' 'add_pool_portfolio.R'
        'add_proportion_decisions.R' 'add_relative_targets.R'
        'add_rsymphony_solver.R' 'add_semicontinuous_decisions.R'
        'add_shuffle_portfolio.R' 'boundary_matrix.R' 'branch_matrix.R'
        'compile.R' 'connected_matrix.R' 'connectivity_matrix.R'
        'constraints.R' 'data.R' 'decisions.R' 'deprecated.R'
        'parallel.R' 'fast_extract.R' 'feature_abundances.R'
        'feature_names.R' 'feature_representation.R'
        'irreplaceability.R' 'magrittr-operators.R' 'marxan_problem.R'
        'misc.R' 'new_optimization_problem.R' 'number_of_features.R'
        'number_of_planning_units.R' 'number_of_total_units.R'
        'number_of_zones.R' 'objectives.R' 'package.R' 'penalties.R'
        'portfolios.R' 'predefined_optimization_problem.R'
        'presolve_check.R' 'print.R' 'problem.R'
        'rarity_weighted_richness.R' 'solve.R' 'replacement_cost.R'
        'rij_matrix.R' 'run_calculations.R' 'show.R' 'simulate.R'
        'solvers.R' 'targets.R' 'zone_names.R' 'zzz.R'
NeedsCompilation: yes
Packaged: 2020-02-05 17:01:39 UTC; richard
Author: Jeffrey O Hanson [aut],
  Richard Schuster [aut, cre],
  Nina Morrell [aut],
  Matthew Strimas-Mackey [aut],
  Matthew E Watts [aut],
  Peter Arcese [aut],
  Joseph Bennett [aut],
  Hugh P Possingham [aut]
Maintainer: Richard Schuster <richard.schuster@glel.carleton.ca>
Repository: CRAN
Date/Publication: 2020-02-06 01:00:02 UTC
Built: R 4.0.0; x86_64-w64-mingw32; 2020-04-10 08:37:31 UTC; windows
Archs: i386, x64
