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()`

[Package

*distrEx* version 2.9.2

Index]