# PrognCondDistribution-class

From distrEx v1.9
by Matthias Kohl

##### Posterior distribution in convolution

The posterior distribution of X given (X+E)=y

- Keywords
- distribution

##### Usage

`PrognCondDistribution(Regr = Norm(), Error = Norm())`

##### Arguments

- Regr
- an object of class
`"AbscontDistribution"`

- Error
- an object of class
`"AbscontDistribution"`

##### Details

For independent r.v.'s X,E with univariate, absolutely continuous
(a.c.) distributions `Regr`

and `Error`

, respectively,
`PrognCondDistribution()`

returns the
(factorized, conditional) posterior distribution of X given X+E=y.
as an object of class `PrognCondDistribution`

.

##### Value

- Object of class
`"PrognCondDistribution"`

##### Objects from the Class

Objects can be created by calls of the form `PrognCondDistribution(Regr, Error)`

where `Regr`

and `error`

are the respective (a.c.) distributions of X and E.

##### Extends

Class `"AbscontCondDistribution"`

, directly.
Class `"Distribution"`

, by classes `"UnivariateCondDistribution"`

and `"AbscontCondDistribution"`

.

##### concept

- S4 distribution class
- conditional distribution

##### See Also

`PrognCondition-class`

, `UnivariateCondDistribution-class`

`AbscontCondDistribution-class`

, `Distribution-class`

##### Examples

`PrognCondDistribution()`

*Documentation reproduced from package distrEx, version 1.9, License: GPL (version 2 or later)*

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