Reference

Create and solve problems Functions for creating new problems and solving them
inputData()	Creates the multi-action planning problem
problem()	Create mathematical model
solve()	Solve mathematical models
prioriactions()	Create and solve multi-actions planning problems
Evaluate params Functions for evaluate differents params for a specific problem
evalBlm()	Evaluate multiple blm values
evalTarget()	Evaluate multiple target values
evalBudget()	Evaluate multiple budget values
Get input data information Function to obtain information about the maximum benefits to achieve
getPotentialBenefit()	Extract potential benefit of features
Get mathematical model information Function to obtain information about the mathematical model
getModelInfo()	Extract general information about mathematical model
Get solution information Functions to obtain various information about the solution
getActions()	Extract action information
getPerformance()	Extract general information about solution
getConnectivityPenalty()	Extract connectivity penalty values
getCost()	Extract cost values
getSolutionBenefit()	Extract benefit values
Class definitions Classes for handle mathematical problems
data-class Data	Data class
optimizationProblem-class OptimizationProblem	Optimization problem class
solution-class Solution	Solution class
portfolio-class Portfolio	Portfolio class
Data Simulated datasets distributed with the package
sim_pu_data sim_features_data sim_dist_features_data sim_threats_data sim_dist_threats_data sim_sensitivity_data sim_boundary_data	Simulated multi-action planning data
Miscellaneous Various useful functions
print(<Data>) print(<OptimizationProblem>) print(<Solution>) print(<Portfolio>)	Print
show(<Data>) show(<OptimizationProblem>) show(<Portfolio>)	Show