R: Posterior distribution in convolution

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 2.7.0 Index]