PrognCondDistribution-class {distrEx} | R Documentation |

## Posterior distribution in convolution

### Description

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

### Objects from the Class

Objects can be created by calls of the form `PrognCondDistribution`

where `Regr`

and `error`

are the respective (a.c.) distributions of X and E
and the other arguments control accuracy in integration.

### Slots

`cond`

:Object of class

`"PrognCondition"`

: condition`img`

:Object of class

`"rSpace"`

: the image space.`param`

:Object of class

`"OptionalParameter"`

: an optional parameter.`r`

:Object of class

`"function"`

: generates random numbers.`d`

:Object of class

`"OptionalFunction"`

: optional conditional density function.`p`

:Object of class

`"OptionalFunction"`

: optional conditional cumulative distribution function.`q`

:Object of class

`"OptionalFunction"`

: optional conditional quantile function.`gaps`

:(numeric) matrix or

`NULL`

`.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

### Extends

Class `"AbscontCondDistribution"`

, directly.

Class `"Distribution"`

, by classes `"UnivariateCondDistribution"`

and `"AbscontCondDistribution"`

.

### Author(s)

Matthias Kohl Matthias.Kohl@stamats.de

### See Also

`PrognCondition-class`

, `UnivariateCondDistribution-class`

`AbscontCondDistribution-class`

, `Distribution-class`

### Examples

`PrognCondDistribution()`

*distrEx*version 2.9.2 Index]