• Now solve() function allows CPLEX solver.
  • Update dataInput() description about d parameter.
  • Update documentation.
  • Now writeOutputs()` exports solution scores.
  • Now we sort id’s of inputs data in dataInput() function.
  • Fixed problem() function. Now it works with recovery objectives and data non-filtered, i.e. with non-threatened features.
  • Release candidate for CRAN.
  • Release candidate for CRAN.
  • Release candidate for CRAN.
  • Update all functions documentation.
  • Rename problem function as dataInput() function for intuitiveness.
  • Add problem() function to create different mathematical models instead of minimizeCosts and maximizeBenefits.
  • Now getPerformance() function incorporate information of previous four functions (removed): getGap, getStatus, getTimeSolving and getObjectiveValue.
  • Now getModelInfo() function incorporate information of previous three functions (removed): getModelSense(), getNconstraints and getNvariables.
  • Add getCost() function to get information about the solution costs. The getActionsCost, getPlanningUnitsCosts and getTotalCosts functions are deprecated.
  • Add getConnectivity() function to get information about the solution connectivity. The getPlanningUnitsConnectivity, getActionsConnectivity and getTotalConnectivity are deprecated.
  • Add getSolutionBenefit() function to get information about the solution benefits. The getBenefits and getTotalBenefits functions are deprecated.
  • Add getPotentialBenefit() function to get maximum benefits to achieve given a data.
  • Add two different targets: recovery and conservation; the first related to the actions to abated threads, and the second related to keep planing units in benefit to features (without do actions).
  • Update Mitchell River, Benefits and sensitivities and Get started vignettes.
  • Update all functions documentation.
  • Add threat input with information on different threats within the exercise.
  • Now rcpp functions work with pointers which allows to use less memory.
  • Add parameters a, b, c, d for sensitivity input added. These parameters allow work with different sensitivities curves of threats-features. In addition to the possibility to work with non-binary threat intensities.
  • Now the sensitivity is an optional input.
  • New maximizeBenefits() model function.
  • Renamemin_costs model function as minimizeCosts() model function for consistency.
  • New portfolio-class objects to handle multiple solutions.
  • New evalBlm() function to create and solve multiple models with different blm parameters.
  • New evalTarget() function to create and solve multiple models with different target parameters.
  • New evalBudget() function to create and solve multiple models with different budget parameters.
  • Now all methods of the solution-class are available as functions for the solution-class and porfolio-class.
  • Update Mitchell River vignette.
  • Add three new parameters to the function solve(); name_output_file is the name of the main output that is exported only if the output_file parameter is TRUE, and name_log is the name of the solver log (only using gurobi solver) that is exported only if the log_file parameter is TRUE.
  • Fix getSolutionActions() and getSolutionUnits() functions of the solution object. Now these round the values assigned to each variable to the integer nearest.
  • Fix benefit() function of the solution object. Now the calculation considers the amount of features and threats other than 1 and 0.
  • Update OptimizationProblemRcpp.cpp file. Now the models considers the amount of features and threats other than 1 and 0.
  • Fix typo that named files and variables sensibility instead of sensitivity. All documentation was updated.
  • Fix issue where the createtxt() function did not close the export file correctly.
  • Rcpp implementation working.
  • Fix internals id’s for the proper functioning of the model creation.
  • Initial package version.