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.
Matrix of variance stabilized count data in the defined interval around
the viewpoint.
fragData
Data frame with all the information on restriction
fragments and the interval around the viewpoint.
alpha
Approximate number of fragments between two breaks of the B-spline
basis. 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.
penalty
Penalty term passed to fdPar as lambda argument.
Default is 0.1.
removeZeros
Defines if zero values should be removed from the fit.
Default is FALSE.
...
Additional parameters.
Value
Returns a matrix with z-score values of all fragments around the given
viewpoint.
providing 
.