UnivarMixingDistribution-class is a class to formalize
univariate mixing distributions; it is a subclass to
class UnivariateDistribution.
Objects can be created by calls of the form
new("UnivarMixingDistribution", ...).
More frequently they are created via the generating function
UnivarMixingDistribution.
mixCoeffObject of class "numeric": a vector of
probabilities for the mixing components.
mixDistrObject of class "UnivarDistrList": a list of
univariate distributions containing the mixing components; must be of same
length as mixCoeff.
imgObject of class "Reals": the space of the image of this distribution which has dimension 1
and the name "Real Space"
paramObject of class "Parameter": the parameter of this distribution, having only the
slot name "Parameter of a discrete distribution"
rObject of class "function": generates random numbers
dfixed to NULL
pObject of class "function": cumulative distribution function
qObject of class "function": quantile function
supportnumeric vector --- the union of all support slots of components, if existing
gaps(numeric) matrix or NULL; the merged gaps slots of all components,
if existing (else NULL)
.withArithlogical: used internally to issue warnings as to interpretation of arithmetics
.withSimlogical: used internally to issue warnings as to accuracy
.logExactlogical: used internally to flag the case where there are explicit formulae for the log version of density, cdf, and quantile function
.lowerExactlogical: used internally to flag the case where there are explicit formulae for the lower tail version of cdf and quantile function
Symmetryobject of class "DistributionSymmetry";
used internally to avoid unnecessary calculations.
Class "UnivariateDistribution"
class "Distribution" by class "UnivariateDistribution".
signature(object = "UnivarMixingDistribution") prints the object
signature(object = "UnivarMixingDistribution") replaces the corresponding slot
signature(object = "UnivarMixingDistribution") returns the corresponding slot
signature(object = "UnivarMixingDistribution") replaces the corresponding slot
signature(object = "UnivarMixingDistribution") returns the corresponding slot
signature(object = "UnivarMixingDistribution") returns the corresponding slot
signature(object = "UnivarMixingDistribution") returns the corresponding slot
signature(object = "Distribution"): returns slot
.logExact if existing; else tries to convert the object to a newer
version of its class by conv2NewVersion and
returns the corresponding slot of the converted object.
signature(object = "Distribution"): returns slot
.lowerExact if existing; else tries to convert the object to a
newer version of its class by conv2NewVersion and
returns the corresponding slot of the converted object.
returns slot Symmetry if existing; else
tries to convert the object to a
newer version of its class by conv2NewVersion and
returns the corresponding slot of the converted object.
Peter Ruckdeschel peter.ruckdeschel@uni-oldenburg.de
Parameter-class,
UnivariateDistribution-class,
LatticeDistribution-class,
AbscontDistribution-class,
simplifyD,
flat.mix
mylist <- UnivarMixingDistribution(Binom(3,.3), Dirac(2), Norm(),
mixCoeff=c(1/4,1/5,11/20))
mylist2 <- UnivarMixingDistribution(Binom(3,.3), mylist,
mixCoeff=c(.3,.7))
mylist2
p(mylist)(0.3)
mixDistr(mylist2)
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