Stage 2 allows to set all required parameters for the selected distribution and generation method.
The input data for the distribution heavily depends on the chosen distribution, see the second page of this notebook for details.
Runuran ‘built-in’ distributions require the parameters of the distributions. Default values are preset and can be changed.
‘user-defined’ distributions usually require data like the density function and/or the cumulative distribution function (CDF) as well as the center (mode) of the distribution.
In addition the domain of the distribution has to be set / may be changed. For ‘built-in’ distributions one can easily draw samples from truncated distributions.
Set parameters for the generation method. These depend on the particular choice of the method, see the third page of this notebook for details.
The following UNU.RAN object are created and can be assigned to R objects of the given names.
distribution object
generator object
random sample of given size
The checked objects are stored in the calling environment (or the
environment passed as argument when calling unuran.gui).
In addition one can display the R code that generates these UNU.RAN objects when checking the item
show R code and validate generator
Then a notebook is created that shows R code as well as the properties of the generator object. Moreover, other pages may be shown that allow to investigate the quality of the generator object.
Click on button ‘Ok’ to create the UNU.RAN objects (and show R code if requested).