distFitMonotoneSymmetric
takes the variance stabilized count values and
calculates a symmetric monotone fit for the distance dependency. The position
information about the viewpoint is stored in fragData
.
The signal trend is fitted for the combined data left and right to the viewpoint
using the fda package.
distFitMonotoneSymmetric(count, fragData, alpha = 20, penalty = 0.1, removeZeros = FALSE, ...)
floor((max(number of fragments left or right))/alpha)
is passed to
create.bspline.basis
as nbasis
argument (if this value is smaller
than 4, 4 is the default value). Default is 20
.fdPar
as lambda
argument.
Default is 0.1
.FALSE
.