ParetoR_2C: ParetoR_2C
In rMOST: Estimates Pareto-Optimal Solution for Hiring with 3 Objectives
ParetoR_2C R Documentation
ParetoR_2C
Description
Command function to optimize 2 non-adverse impact objectives via NBI
algorithm
Usage
ParetoR_2C(Rx, Rxy1, Rxy2, Spac = 10, graph = TRUE)
Arguments
Rx
Matrix with intercorrelations among predictors
Rxy1
Vector with correlation between each predictor and non-adverse impact objective 1
Rxy2
Vector with correlation between each predictor and non-adverse impact objective 2
Spac
Number of Pareto points
graph
If TRUE, plots will be generated for Pareto-optimal curve and
predictor weights
Value
out Pareto-Optimal solution with objective outcome values (Criterion) and
predictor weights (ParetoWeights)
rMOST documentation built on Nov. 9, 2023, 1:08 a.m.
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| ParetoR_2C | R Documentation |
ParetoR_2C
Description
Command function to optimize 2 non-adverse impact objectives via NBI algorithm
Usage
ParetoR_2C(Rx, Rxy1, Rxy2, Spac = 10, graph = TRUE)
Arguments
Rx |
Matrix with intercorrelations among predictors |
Rxy1 |
Vector with correlation between each predictor and non-adverse impact objective 1 |
Rxy2 |
Vector with correlation between each predictor and non-adverse impact objective 2 |
Spac |
Number of Pareto points |
graph |
If TRUE, plots will be generated for Pareto-optimal curve and predictor weights |
Value
out Pareto-Optimal solution with objective outcome values (Criterion) and predictor weights (ParetoWeights)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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