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Improve procedure for generating best-guess patches with real-valued parameters

Open thobson88 opened this issue 7 years ago • 0 comments

Currently parameters are estimated by passing the diffness measure to the generic R optimisation function (stats::optimise). We could certainly make this more efficient for the specific case of the K-S statistic which is the default diffness function.

Less expensive parameter estimation will be important when calibrating via the bootstrap.

thobson88 avatar Jul 20 '17 12:07 thobson88