Simple wrapper for function which compute performance indicators for multi-objective stochastic algorithm. Basically this function appends some meta information to the passed function fun.
Function which expects a numeric matrix points as first argument. Optional named arguments (often ref.point for a reference point or ref.points for a reference set, e.g., the true Pareto-front) are allowed. See implementations of existing indicators for examples.
minimize: [logical(1)]
Lower values indicate better performance?
name: [character(1)]
Short name of the indicator. Used, e.g., as column name for the indicator in the data.frame returned by computeIndicators.
latex.name: [character(1)]
LaTeX representation of the indicator. Used in LaTeX-table output statistical tests (see toLatex).
Returns
[function(points, ...)] Argument fun with all other arguments appended.