list of objects of class km, one for each objective functions,
paretoFront
(optional) matrix corresponding to the Pareto front of size [n.pareto x n.obj],
type
type of uncertainty, for now only the probability of improvement over the Pareto front,
lower
vector of lower bounds for the variables,
upper
vector of upper bounds for the variables,
resolution
grid size (the total number of points is resolution^d),
option
optional argument (string) for n > 2 variables to define the projection type. The 3 possible values are "mean" (default), "max" and "min",
nintegpoints
number of integration points for computation of mean, max and min values.
Details
Function inspired by the function print_uncertainty and
print_uncertainty_nd from the package KrigInv.
Non-dominated observations are represented with green diamonds, dominated ones by yellow triangles.