The Distribution-class is the mother-class of
class UnivariateDistribution.
Objects can be created by calls of the form new("Distribution").
imgObject of class "rSpace": the space of the image
paramObject of class "OptionalParameter": the parameter
rObject of class "function": generates random numbers
dObject of class "OptionalFunction": density function
pObject of class "OptionalFunction": cumulative
distribution function
qObject of class "OptionalFunction": quantile function
.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.
signature(object = "Distribution"): returns the space of
the image
signature(object = "Distribution"): returns the
parameter
signature(object = "Distribution"): returns the random
number generator
signature(object = "Distribution"): returns the density
function
signature(object = "Distribution"): returns the cumulative
distribution function
signature(object = "Distribution"): returns the quantile
function
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.
Thomas Stabla statho3@web.de,
Florian Camphausen fcampi@gmx.de,
Peter Ruckdeschel peter.ruckdeschel@uni-oldenburg.de,
Matthias Kohl Matthias.Kohl@stamats.de
UnivariateDistribution-class
Parameter-class