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A control function with different list items that change the performance of the different (kinetic) outlier functions as defined in KOD.
KOD
parKOD(eff = c("sliwin", "sigfit", "expfit"), train = TRUE, alpha = 0.05, cp.crit = 10, cut = c(-6, 2))
uni1. The efficiency method to be used. Either sliwin, sigfit or expfit.
sliwin
sigfit
expfit
uni1. If TRUE, the sample's efficiency is NOT included in the calculation of the average efficiency (default), if FALSE it is.
TRUE
FALSE
uni2. The cycle difference between first and second derivative maxima, default is 10.
multi1. A 2-element vector defining the lower and upper border from the first derivative maximum from where to cut the complete curve.
the p-value cutoff value for all implemented statistical tests.
If called, returns a list with the parameters as items.
For more details on the function of the parameters within the different kinetic and sigmoidal outlier methods, see KOD.
# NOT RUN { ## Multivariate outliers, ## adjusting the 'cut' parameter. ml1 <- modlist(reps, 1, 2:5, model = l5) res1 <- KOD(ml1, method = "multi1", par = parKOD(cut = c(-5, 2))) # }
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