Pareto frontier indicator

Identifies non-dominated alternatives for objectives to be maximized or minimized.

Usage

pareto_frontier(objectives, maximize = TRUE)

Arguments

objectives

Numeric matrix/data frame. Alternatives are rows, objectives columns.

maximize

Logical vector indicating whether each objective is to be maximized. Scalar values are recycled.

Value

Logical vector indicating Pareto-efficient rows.

References

De Corte, W., Lievens, F., & Sackett, P. R. (2007). Combining predictors to achieve optimal trade-offs between selection quality and adverse impact. Journal of Applied Psychology, 92, 1380-1393. De Corte, W., Sackett, P. R., & Lievens, F. (2011). Designing Pareto-optimal selection systems: Formalizing the decisions required for selection system development. Journal of Applied Psychology, 96, 907-926.

Examples

# Literature: De Corte, Lievens, and Sackett (2007); De Corte, Sackett, and Lievens (2011).
pareto_frontier(data.frame(validity = c(.30, .35, .32), diversity = c(.80, .70, .85)))
#> [1] FALSE  TRUE  TRUE