Information on a given "unuran" generator object

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Description

Prints type of unuran generator, data used from distribution, parameter for algorithm, performance characteristic, and hints to adjust the performance of the generator. It also returns a list that contains some of these data.

[Advanced] – Print object.

Usage

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unuran.details(unr, show=TRUE, return.list=FALSE, debug=FALSE)

Arguments

unr

an unuran object.

show

whether the data are printed on the console. (boolean)

return.list

whether some of the data are returned in a list. (boolean)

debug

if TRUE, store additional data in returned list. This might be useful to examine a method. (boolean)

Details

If show is TRUE then this routine prints data about the generator object to the console.

If return.list is TRUE then a list that contains some of these data is returned. This an experimental feature and components of the list may be extended on request.

The components of the returned list depend on the particular method. However, the following are common to all objects:

method

string that contains the name of the generation method.

type

one of the following strings that describes the type of the generation method:

"inv"

inversion method

"ar"

acceptance-rejection method

"iar"

acceptance-rejection whether inversion is used for the proposal distribution

"mcmc"

Markov chain Monte Carlo sampler

"other"

none of the above methods

distr.class

one of the following strings that describes the class of the distribution:

"cont"

univariate continuous distribution

"discr"

univariate discrete distribution

"cont"

multivariate continuous distribution

In addition the following components may be available:

area.pdf

area below density function of the distribution.

area.hat

area below hat function for an acceptance-rejection method.

rejection.constant

rejection constant for an acceptance-rejection method. It given as the ratio area.hat / area.pdf.

area.squeeze

area below squeeze function for an acceptance-rejection method. area.hat / area.squeeze can be used as upper bound for the rejection constant.

intervals

integer that contains the number of subintervals into which the domain of the target distribution is split for constructing a hat function / approximating function.

truncated.domain

vector of length 2 that contains upper and lower boundary of the ‘computational domain’ that is used for constructing an approximating function.

Author(s)

Josef Leydold and Wolfgang H\"ormann unuran@statmath.wu.ac.at.

See Also

unuran.

Examples

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## Create a generator object
distr <- udnorm()
gen <- tdrd.new(distr)

## print data about object on console
unuran.details(gen)

## get list with some of these data
data <- unuran.details(gen,return.list=TRUE)

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