View source: R/ParetoFunction.R
NBI | R Documentation |
Main function for obtaining pareto-optimal solution via normal boundary intersection.
NBI(
X0,
Spac,
Fnum,
VLB = vector(),
VUB = vector(),
TolX = 1e-04,
TolF = 1e-04,
TolCon = 1e-07,
graph = TRUE,
display_solution = TRUE
)
X0 |
Initial input for preditor weight vector |
Spac |
Number of Pareto spaces (i.e., number of Pareto points minus one) |
Fnum |
Number of criterions |
VLB |
Lower boundary for weight vector estimation |
VUB |
Upper boundary for weight vector estimation |
TolX |
Tolerance index for estimating weight vector, default is 1e-4 |
TolF |
Tolerance index for estimating criterion, default is 1e-4 |
TolCon |
Tolerance index for constraint conditions, default is 1e-7 |
graph |
If TRUE, plots will be generated for Pareto-optimal curve and predictor weights |
display_solution |
If TRUE, Pareto-optimal solution will be displayed |
Pareto-Optimal solutions
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