Description Usage Arguments Objects from the Class Slots Extends Methods Author(s) See Also Examples

The distribution-classes contain a slot where the sample space is stored. One typical sample space is the Euclidean Space in dimension k.

1 | ```
EuclideanSpace(dimension = 1)
``` |

`dimension` |
positive integer: dimension of
the Euclidean space (default |

Objects could theoretically be created by calls of the form `new("EuclideanSpace", dimension, name)`

.
Usually an object of this class is not needed on its own. `EuclideanSpace`

is the mother-class of the class
`Reals`

, which is generated automatically when a univariate absolutly continuous distribution is instantiated.

`dimension`

Object of class

`"numeric"`

: the dimension of the space, by default = 1`name`

Object of class

`"character"`

: the name of the space, by default = "Euclidean Space"

Class `"rSpace"`

, directly.

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

: initialize method- liesIn
`signature(object = "EuclideanSpace", x = "numeric")`

: Does a particular vector lie in this space or not?- dimension
`signature(object = "EuclideanSpace")`

: returns the dimension of the space- dimension<-
`signature(object = "EuclideanSpace")`

: modifies the dimension of the space

Thomas Stabla [email protected],

Florian Camphausen [email protected],

Peter Ruckdeschel [email protected],

Matthias Kohl [email protected]

`rSpace-class`

`Reals-class`

`Distribution-class`

`liesIn-methods`

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