Objects from the Class
Objects can be created by calls of the form Exp(rate)
.
This object is an exponential distribution.Slots
img
- Object of class
"Reals"
:
The space of the image of this distribution has got dimension 1
and the name "Real Space". param
- Object of class
"ExpParameter"
:
the parameter of this distribution (rate), declared at its instantiation r
- Object of class
"function"
:
generates random numbers (calls function rexp) d
- Object of class
"function"
:
density function (calls function dexp) p
- Object of class
"function"
:
cumulative function (calls function pexp) q
- Object of class
"function"
:
inverse of the cumulative function (calls function qexp) .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.
Extends
Class "ExpOrGammaOrChisq"
, directly.
Class "AbscontDistribution"
, by class "ExpOrGammaOrChisq"
.
Class "UnivariateDistribution"
, by class "AbscontDistribution"
.
Class "Distribution"
, by class "AbscontDistribution"
.Is-Relations
By means of setIs
, R ``knows'' that a distribution object obj
of class "Exp"
also is
a Gamma distribution with parameters shape = 1, scale = 1/rate(obj)
and a Weibull distribution with
parameters shape = 1, scale = 1/rate(obj)
Methods
- initialize
signature(.Object = "Exp")
:
initialize method - rate
signature(object = "Exp")
:
returns the slot rate of the parameter of the distribution - rate<-
signature(object = "Exp")
:
modifies the slot rate of the parameter of the distribution - *
signature(e1 = "Exp", e2 = "numeric")
:
For the exponential distribution we use its closedness under positive scaling transformations.