Carry out multiple runs of an MP for a given dataset over a grid of values for the MP/HCR paramaters, in order to find the parameter combination(s) that give the best performance over the chosen statistics, a.k.a. tuning
tune(mp, grid, statistics, refpts, ...)
A function executing a projection applying a given MP, see mseBasic
for an example
A name list of mp argument values to loop along
A list of performance statistics
The reference points needed to compute the statistics, FLPar
Any other arguments to be passed on to mp
A list or aggregatecd FLR object, depending on the output of mp
DETAILS