PrognCondDistribution-class {distrEx}

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 [e-mail]

See Also

PrognCondition-class, UnivariateCondDistribution-class AbscontCondDistribution-class, Distribution-class

Examples

PrognCondDistribution()