Package: prioriactions
Type: Package
Version: 0.4
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) and non-commercial (symphony) 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>). 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.salgado.rojas@hotmail.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, Rsymphony,
        tidyr, dplyr, Rcpp, rlang
Suggests: knitr, gurobi (>= 9.0), roxygen2, rmarkdown, testthat (>=
        3.0.0), raster, tmap, sp, viridis, markdown, data.table, purrr,
        readr, slam, tibble, methods
LinkingTo: Rcpp, RcppArmadillo (>= 0.10.1.0.0), BH
Encoding: UTF-8
LazyData: true
SystemRequirements: C++11
License: GPL (>= 2)
Language: en-US
RoxygenNote: 7.1.2
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'
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2022-02-09 15:46:21 UTC; josesalgr
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.salgado.rojas@hotmail.com>
Repository: CRAN
Date/Publication: 2022-02-09 22:30:06 UTC
Built: R 4.0.5; x86_64-apple-darwin17.0; 2022-02-10 11:58:19 UTC; unix
Archs: prioriactions.so.dSYM
