Package: prioriactions
Type: Package
Version: 0.5.0
Title: Multi-Action Conservation Planning
Description: This uses a mixed integer mathematical programming (MIP)
        approach for building and solving multi-action planning
        problems, where the goal is to find an optimal combination of
        management actions that abate threats, in an efficient way
        while accounting for spatial aspects. Thus, optimizing the
        connectivity and conservation effectiveness of the prioritized
        units and of the deployed actions. The package is capable of
        handling different commercial (gurobi, CPLEX) and
        non-commercial (symphony, CBC) MIP solvers. Gurobi optimization
        solver can be installed using comprehensive instructions in the
        'gurobi' installation vignette of the prioritizr package
        (available in
        <https://prioritizr.net/articles/gurobi_installation_guide.html>).
        Instead, 'CPLEX' optimization solver can be obtain from IBM
        CPLEX web page (available here
        <https://www.ibm.com/es-es/products/ilog-cplex-optimization-studio>).
        Additionally, the 'rcbc' R package (available at
        <https://github.com/dirkschumacher/rcbc>) can be used to obtain
        solutions using the CBC optimization software
        (<https://github.com/coin-or/Cbc>). Methods used in the package
        refers to Salgado-Rojas et al. (2020)
        <doi:10.1016/j.ecolmodel.2019.108901>, Beyer et al. (2016)
        <doi:10.1016/j.ecolmodel.2016.02.005>, Cattarino et al. (2015)
        <doi:10.1371/journal.pone.0128027> and Watts et al. (2009)
        <doi:10.1016/j.envsoft.2009.06.005>. See the prioriactions
        website for more information, documentations and examples.
Authors@R: c(person(c('Jose'), 'Salgado-Rojas',
             email='jose.salgroj@gmail.com', role = c('aut','cre')),
             person(c('Irlanda'), 'Ceballos-Fuentealba',
             email='iceballosfuentealba@gmail.com', role = c('aut')),
             person(c('Virgilio'), 'Hermoso',
             email='virgilio.hermoso@gmail.com', role = c('aut')),
             person(c('Eduardo'), 'Alvarez-Miranda',
             email='eduardo.alvmir@gmail.com', role = c('aut')),
             person(c('Jordi'), 'Garcia-Gonzalo',
             email='j.garcia@ctfc.es', role = c('aut')))
Depends: R (>= 3.5.0)
Imports: assertthat (>= 0.2.0), Matrix, proto, magrittr, tidyr, dplyr,
        Rcpp, rlang
Suggests: knitr, gurobi (>= 9.0), Rcplex, roxygen2, rcbc, Rsymphony (>=
        0.1-31), rmarkdown, testthat (>= 3.0.0), raster, tmap, sp,
        viridis, markdown, data.table, purrr, readr, slam, tibble,
        methods, reshape2
LinkingTo: Rcpp, RcppArmadillo (>= 0.10.1.0.0), BH
Encoding: UTF-8
LazyData: true
License: GPL (>= 2)
Language: en-US
RoxygenNote: 7.2.3
URL: https://prioriactions.github.io/prioriactions/,
        https://github.com/prioriactions/prioriactions
BugReports: https://github.com/prioriactions/prioriactions/issues
VignetteBuilder: knitr
Collate: 'RcppExports.R' 'internal.R' 'data-class.R' 'writeOutputs.R'
        'optimizationProblem-class.R' 'presolve.R' 'evalBlm.R'
        'problem_modifier.R' 'evalBudget.R' 'evalTarget.R'
        'getActions.R' 'getConnectivityPenalty.R' 'getCost.R'
        'getModelInfo.R' 'getPerformance.R' 'getPotentialBenefit.R'
        'getSolutionBenefit.R' 'inputData.R' 'package.R'
        'portfolio-class.R' 'print.R' 'problem.R' 'show.R' 'simData.R'
        'solution-class.R' 'solve.R' 'utils-pipe.R' 'zzz.R'
Roxygen: list(markdown = TRUE)
Config/testthat/edition: 3
Config/pak/sysreqs: libicu-dev
Repository: https://prioriactions.r-universe.dev
Date/Publication: 2023-08-13 18:01:58 UTC
RemoteUrl: https://github.com/prioriactions/prioriactions
RemoteRef: HEAD
RemoteSha: 16bc97420a2ef8a2f026e7f450f06d2ac0d75f31
NeedsCompilation: yes
Packaged: 2026-06-01 06:40:51 UTC; root
Author: Jose Salgado-Rojas [aut, cre],
  Irlanda Ceballos-Fuentealba [aut],
  Virgilio Hermoso [aut],
  Eduardo Alvarez-Miranda [aut],
  Jordi Garcia-Gonzalo [aut]
Maintainer: Jose Salgado-Rojas <jose.salgroj@gmail.com>