Calls/drops single-locus outliers along the genome that have a signal that differ significantly from the neighboring loci.
# S3 method for default
callSegmentationOutliers(y, chromosome=0, x=NULL, method="DNAcopy::smooth.CNA", ...,
  verbose=FALSE)
 # S3 method for data.frame
callSegmentationOutliers(y, ...)
 # S3 method for default
dropSegmentationOutliers(y, ...)
 # S3 method for data.frame
dropSegmentationOutliers(y, ...)callSegmentationOutliers() returns a logical
vector of length J.
dropSegmentationOutliers() returns an object of the same type
  as argument y, where the signals for which outliers were called
  have been set to NA.
(Optional) An integer scalar
      (or a vector of length J contain a unique value).
      Only used for annotation purposes.
Optional numeric vector of J genomic locations.
           If NULL, index locations 1:J are used.
A character string specifying the method
       used for calling outliers.
Additional arguments passed to internal outlier detection method.
See Verbose.
Signals as well as genomic positions may contain missing
  values, i.e. NAs or NaNs.  By definition, these cannot
  be outliers.
Henrik Bengtsson
Internally smooth.CNA is utilized to identify
  the outliers.