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.
whether the data are printed on the console. (boolean)
whether some of the data are returned in a list. (boolean)
if TRUE, store additional data in returned list. This might be useful to examine a method. (boolean)
TRUE then this routine prints data about the
generator object to the console.
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:
string that contains the name of the generation method.
one of the following strings that describes the type of the generation method:
acceptance-rejection whether inversion is used for the proposal distribution
Markov chain Monte Carlo sampler
none of the above methods
one of the following strings that describes the class of the distribution:
univariate continuous distribution
univariate discrete distribution
multivariate continuous distribution
In addition the following components may be available:
area below density function of the distribution.
area below hat function for an acceptance-rejection method.
rejection constant for an
It given as the ratio
area.hat / area.pdf.
area below squeeze function for an
area.hat / area.squeeze can be used as upper bound for the
integer that contains the number of subintervals into which the domain of the target distribution is split for constructing a hat function / approximating function.
vector of length 2 that contains upper and lower boundary of the ‘computational domain’ that is used for constructing an approximating function.
Josef Leydold and Wolfgang H\"ormann firstname.lastname@example.org.
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