
is.outlier
returns a vector of logicals for each run if they are outliers (i.e. sigmoidal or kinetic) or not.is.outlier(object)
KOD
.## analyze in respect to amplification
## efficiency outliers
ml1 <- modlist(reps)
res1 <- KOD(ml1, check = "uni2")
## which runs are outliers?
outl <- is.outlier(res1)
outl
which(outl)
## test for sigmoidal outliers
## with the 'testdat' dataset
ml2 <- modlist(testdat, model = l5, check = "uni2")
is.outlier(ml2)
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