These functions take a numeric matrix as input where each column corresponds to
a point and return a logical vector. The \(i\)th position of the latter is
TRUE if the \(i\)th point is dominated by at least one other point for
dominated. Likewise, the \(i\)th entry of nondominated is TRUE
if it is not dominated by any other point.
dominated(x) nondominated(x)
| x | [ |
|---|
Logical vector where the \(i\)th component is TRUE if
x[i] is dominated or nondominated respectively and FALSE
otherwise.
Other Pareto-dominance checks:
dominates(),
set_dominates(),
which_dominated()
Other multi-objective tools:
dominates(),
set_dominates(),
which_dominated()
#> [1] FALSE TRUE TRUEnondominated(x)#> [1] TRUE FALSE FALSE