redist_scorer functions may be combined together to optimize along multiple dimensions. Rather than linearly combining multiple scorers to form a single objective as with scorer-arith, these functions allow analysts to approximate the Pareto frontier for a set of scorers.

combine_scorers(...)

# S3 method for redist_scorer
cbind(..., deparse.level = 1)

Arguments

...

a numeric or a redist_scorer function, from scorers

deparse.level

As in cbind().

Value

function of class redist_scorer. Will return a matrix with each column containing every plan's scores for a particular scoring function.