"AbscontDistribution"
AbscontDistribution(r)
AbscontDistribution(r = NULL, d)
AbscontDistribution(r = NULL, d = NULL, p)
AbscontDistribution(r = NULL, d = NULL, p = NULL, d)
AbscontDistribution(r, d, p, q)
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"))
r
to be filledd
to be filledp
to be filledq
to be filled"matrix"
with two columns) to be filled
(i.e. t(gaps)
must be ordered if read as vector)"OptionalParameter"
)"rSpace"
)d
to integrate to 1 --- default is no resp. FALSE
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."AbscontDistribution"
r
, d
, p
or q
needs to be given as argument.
The other non-given slots are then reconstructed according to the following scheme:
.D2P
, q by .P2Q
, r by q(runif(n))
- - + - d by .P2D
, q by .P2Q
, r by q(runif(n))
- + + - q by .P2Q
, r by q(runif(n))
- - - + p by .Q2P
, d by .P2D
, r by q(runif(n))
- + - + p by .Q2P
, r by q(runif(n))
- - + + d by .P2D
, r by q(runif(n))
- + + + r by q(runif(n))
+ - - - call to RtoDPQ
+ + - - p by .D2P
, q by .P2Q
+ - + - d by .P2D
, q by .P2Q
+ + + - q by .P2Q
+ - - + p by .Q2P
, d by .P2D
+ + - + p by .Q2P
+ - + + d by .P2D
+ + + + nothing
}
For this purpose, one may alternatively give arguments low1
and up1
(NULL
each by default,
and determined through slot q
, resp. p
, resp. d
, resp. r
in this order
according to availability),
for the (finite) range of values in the support of this distribution,
as well as the possibly infinite theoretical range given by
arguments low
and up
with default values -Inf
, Inf
, respectively.
Of course all other slots may be specified as arguments.AbscontDistribution-class
,
DiscreteDistribution-class
,
RtoDPQ
plot(Norm())
plot(AbscontDistribution(r = rnorm))
plot(AbscontDistribution(d = dnorm))
plot(AbscontDistribution(p = pnorm))
plot(AbscontDistribution(q = qnorm))
plot(Ac <- AbscontDistribution(d = function(x, log = FALSE){
d <- exp(-abs(x^3))
## unstandardized!!
if(log) d <- log(d)
return(d)},
withStand = TRUE))
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