"DiscreteDistribution"
DiscreteDistribution(supp, prob, .withArith=FALSE, .withSim=FALSE,
.lowerExact = TRUE, .logExact = FALSE,
.DistrCollapse = getdistrOption("DistrCollapse"),
.DistrCollapse.Unique.Warn =
getdistrOption("DistrCollapse.Unique.Warn"),
.DistrResolution = getdistrOption("DistrResolution"),
Symmetry = NoSymmetry())
supp
.supp
, prob
distributional arithmetics was involved, you may set this to TRUE
.supp
, prob
simulations were involved, you may set this to TRUE
.lower.tail=FALSE
part is calculated exactly, avoing a ``1-.
''.d,p,q
,
we make particular use of a logarithmic representation to enhance accuracy..DistrResolution
are
collapsed.unique()
(default behaviour if .DistrCollapse
is FALSE
)Symmetry=SphericalSymmetry(center)
."DiscreteDistribution"
prob
is missing, all elements in supp
are equally weighted.
Typical usages are
DiscreteDistribution(supp)DiscreteDistribution-class
AbscontDistribution-class
RtoDPQ.d
# Dirac-measure at 0
D1 <- DiscreteDistribution(supp = 0)
D1
# simple discrete distribution
D2 <- DiscreteDistribution(supp = c(1:5), prob = c(0.1, 0.2, 0.3, 0.2, 0.2))
D2
plot(D2)
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