# UnivariateDistribution-class

##### Class "UnivariateDistribution"

The UnivariateDistribution-class is the mother-class of the classes AbscontDistribution and DiscreteDistribution.

- Keywords
- distribution

##### Objects from the Class

Objects can be created by calls of the form `new("UnivariateDistribution")`

.

##### Slots

`img`

Object of class

`"Reals"`

: the space of the image of this distribution which has dimension 1 and the name "Real Space"`param`

Object of class

`"Parameter"`

: the parameter of this distribution`r`

Object of class

`"function"`

: generates random numbers`d`

Object of class

`"function"`

: density function`p`

Object of class

`"function"`

: cumulative distribution function`q`

Object of class

`"function"`

: 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.

##### Extends

Class `"Distribution"`

, directly.

##### Methods

- initialize
`signature(.Object = "UnivariateDistribution")`

:initialize method

- dim
`signature(x = "UnivariateDistribution")`

:returns the dimension of the support of the distribution

- -
`signature(e1 = "UnivariateDistribution")`

:application of `-' to this univariate distribution

- *
`signature(e1 = "UnivariateDistribution", e2 = "numeric")`

:multiplication of this univariate distribution by an object of class `numeric'

- /
`signature(e1 = "UnivariateDistribution", e2 = "numeric")`

:division of this univariate distribution by an object of class `numeric'

- +
`signature(e1 = "UnivariateDistribution", e2 = "numeric")`

:addition of this univariate distribution to an object of class `numeric'

- -
`signature(e1 = "UnivariateDistribution", e2 = "numeric")`

:subtraction of an object of class `numeric' from this univariate distribution

- *
`signature(e1 = "numeric", e2 = "UnivariateDistribution")`

:multiplication of this univariate distribution by an object of class `numeric'

- +
`signature(e1 = "numeric", e2 = "UnivariateDistribution")`

:addition of this univariate distribution to an object of class `numeric'

- -
`signature(e1 = "numeric", e2 = "UnivariateDistribution")`

:subtraction of this univariate distribution from an object of class `numeric'

- +
`signature(e1 = "UnivariateDistribution", e2 = "UnivariateDistribution")`

:Convolution of two univariate distributions. The slots p, d and q are approximated by grids.

- -
`signature(e1 = "UnivariateDistribution", e2 = "UnivariateDistribution")`

:Convolution of two univariate distributions. The slots p, d and q are approximated by grids.

- simplifyr
`signature(object = "UnivariateDistribution")`

:simplifies the r-method of a distribution, see there for further information

`signature(object = "UnivariateDistribution")`

:returns the class of the object and its parameters

- show
`signature(object = "UnivariateDistribution")`

: as print

##### See Also

`Parameter-class`

`Distribution-class`

`AbscontDistribution-class`

`DiscreteDistribution-class`

`Reals-class`

`RtoDPQ`

`simplifyr-methods`

*Documentation reproduced from package distr, version 2.8.0, License: LGPL-3*