The Distribution-class
is the mother-class of
class UnivariateDistribution
.
Objects can be created by calls of the form new("Distribution")
.
img
Object of class "rSpace"
: the space of the image
param
Object of class "OptionalParameter"
: the parameter
r
Object of class "function"
: generates random numbers
d
Object of class "OptionalFunction"
: density function
p
Object of class "OptionalFunction"
: cumulative
distribution function
q
Object of class "OptionalFunction"
: quantile function
.withArith
logical: used internally to issue warnings as to interpretation of arithmetics
.withSim
logical: used internally to issue warnings as to accuracy
.logExact
logical: used internally to flag the case where there are explicit formulae for the log version of density, cdf, and quantile function
.lowerExact
logical: used internally to flag the case where there are explicit formulae for the lower tail version of cdf and quantile function
Symmetry
object 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