NEWS

prioriactions 0.5.0 (2023-08-13)

Now we add the non-academic cbc solver as option in solve() function.
Update solve() function reference.
Add the CONTRIBUTING file.
New solver benchmarking vignette is added.
Now blm parameter in problem() is not rounded.
Now the parameter NodefileStart is incorporated internally in the gurobi solver. Set in 0.5.
Update vignettes.

Fix gurobi solver params in solve() function.
Update inputData() function reference.
Now parameters a, b, c, d for sensitivity input are called delta1, delta2, delta3, delta4 respectively.

Fixed problem() function. Now it works with recovery objectives and data non-filtered, i.e. with non-threatened features.

Update all functions documentation.
Rename problem function as inputData() 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.