- Now
`solve()`

function allows CPLEX solver. - Update
`inputData()`

description about*d*parameter. - Update documentation.
- Now
`solve()`

function exports solution scores. - Now we sort
*id’s*of inputs data in`inputData()`

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`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. - Rename
`min_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.