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 indicators, a.k.a. tuning

tune(mp, grid, indicators, refpts, ...)

Arguments

mp

A function executing a projection applying a given MP, see mseBasic for an example

grid

A name list of mp argument values to loop along

indicators

A list of performance indicators

refpts

The reference points needed to compute the indicators, FLPar

...

Any other arguments to be passed on to mp

Value

A list or aggregatecd FLR object, depending on the output of mp

Details

DETAILS

See also

mseBasic,performance

Examples

if (FALSE) { if(interactive()){ #EXAMPLE1 } }