rMOST (version 1.0.1)

NBI_2C: NBI Main Function

Description

Main function for obtaining pareto-optimal solution via normal boundary intersection.

Usage

NBI_2C(
  X0,
  Spac,
  Fnum,
  VLB = vector(),
  VUB = vector(),
  TolX = 1e-04,
  TolF = 1e-04,
  TolCon = 1e-07,
  graph = TRUE
)

Value

Pareto-Optimal solutions

Arguments

X0

Initial input for predictor 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