Usage
AbscontDistribution(r = NULL, d = NULL, p = NULL, q = NULL, gaps = NULL, param = NULL, img = new("Reals"), .withSim = FALSE, .withArith = FALSE, .lowerExact = FALSE, .logExact = FALSE, withgaps = getdistrOption("withgaps"), low1 = NULL, up1 = NULL, low = -Inf, up =Inf, withStand = FALSE, ngrid = getdistrOption("DefaultNrGridPoints"), ep = getdistrOption("TruncQuantile"), e = getdistrOption("RtoDPQ.e"), Symmetry = NoSymmetry())
Arguments
gaps
slot gaps (of class "matrix" with two columns) to be filled 
              (i.e. t(gaps) must be ordered if read as vector)
param
parameter (of class "OptionalParameter")
img
image range of the distribution (of class "rSpace")
low1
lower bound (to be the lower TruncQuantile-quantile of the distribution)
up1
upper bound (to be the upper TruncQuantile-quantile of the distribution)
low
lower bound (to be the 100-percent-quantile of the distribution)
up
upper bound (to be the 100-percent-quantile of the distribution)
withStand
logical: shall we standardize argument function d
  to integrate to 1 --- default is no resp. FALSE
ngrid
number of gridpoints
e
exponent to base 10 to be used for simulations
withgaps
logical; shall gaps be reconstructed empirically?
.withArith
normally not set by the user, but if determining the entries supp, prob
                    distributional arithmetics was involved, you may set this to TRUE.
.withSim
normally not set by the user, but if determining the entries supp, prob
                  simulations were involved, you may set this to TRUE.
.lowerExact
normally not set by the user: whether the lower.tail=FALSE
                     part is calculated exactly, avoing a ``1-.''.
.logExact
normally not set by the user: whether in determining slots d,p,q,
         we make particular use of a logarithmic representation to enhance accuracy.
Symmetry
you may help R in calculations if you tell it whether
    the distribution is non-symmetric (default) or symmetric with respect
    to a center; in this case use Symmetry=SphericalSymmetry(center).