Methods for function simplifyD in Package ‘distr’
simplifyD-methods
simplifyD(object)
object |
distribution object |
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.
the corresponding, possibly simplified distribution
signature(object = "AbscontDistribution"):
returns object unchanged
signature(object = "DiscreteDistribution"):
returns object unchanged
signature(object = "UnivarLebDecDistribution"):
checks whether acWeight or discreteWeight is approximately
(i.e.; up to getdistrOption("TruncQuantile")) zero and if so,
accordingly returns discretePart(object) or acPart(object),
respectively.
signature(object = "UnivarMixingDistribution"):
returns the flattened version of object (using flat.mix).
before doing so, it checks whether any component carries weight approximately
(i.e.; up to getdistrOption("TruncQuantile")) one (in slot mixCoeff)
and if so, returns this component; else, if not all weights are below
getdistrOption("TruncQuantile")), it filters out those components
with weight less than getdistrOption("TruncQuantile")).
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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.