simplifyD-methods {distr} | R Documentation |
Methods for function simplifyD in Package ‘distr’
Description
simplifyD-methods
Usage
simplifyD(object)
Arguments
object |
distribution object |
Details
generating functions UnivarMixingDistribution
Minimum
, Maximum
, Truncate
, and
Huberize
have an argument withSimplify
which
decides whether the respective result is filtered by/piped through a
call to simplifyD
.
By default this argument is set to the distr-option
getdistrOption("simplifyD"
(for the inspection and modification of such
global options see distroptions
). Depending on whether or not this
option is TRUE
, also arithmetic operations "+"
, "*"
, "/"
,
"^"
and group Math
give results filtered by/piped through a call
to simplifyD
.
Value
the corresponding, possibly simplified distribution
Methods
- simplifyD
signature(object = "AbscontDistribution")
: returnsobject
unchanged- simplifyD
signature(object = "DiscreteDistribution")
: returnsobject
unchanged- simplifyD
signature(object = "UnivarLebDecDistribution")
: checks whetheracWeight
ordiscreteWeight
is approximately (i.e.; up togetdistrOption("TruncQuantile")
) zero and if so, accordingly returnsdiscretePart(object)
oracPart(object)
, respectively.- simplifyD
signature(object = "UnivarMixingDistribution")
: returns the flattened version ofobject
(usingflat.mix
). before doing so, it checks whether any component carries weight approximately (i.e.; up togetdistrOption("TruncQuantile")
) one (in slotmixCoeff
) and if so, returns this component; else, if not all weights are belowgetdistrOption("TruncQuantile")
), it filters out those components with weight less thangetdistrOption("TruncQuantile")
).
See Also
Examples
set.seed(123)
Mix1 <- UnivarMixingDistribution(Norm(),Binom(2,.3),
UnivarLebDecDistribution(acPart = Chisq(df = 2), discretePart = Nbinom(3,.09),
acWeight = 0.3),
Norm()-Chisq(df=3), mixCoeff=c(0,0,0.2,0.8), withSimplify = FALSE)
Mix2 <- UnivarMixingDistribution(Norm(),Mix1, DExp(2),
mixCoeff = c(0,0.2,0.8), withSimplify = FALSE)
Mix2
simplifyD(Mix2)