unuran.discr.new: Create a UNU.RAN discrete univariate distribution object

In Runuran: R Interface to the 'UNU.RAN' Random Variate Generators

Create a UNU.RAN discrete univariate distribution object

Description

Create a new UNU.RAN object for a discrete univariate distribution. The interface might be changed in future releases. Do not use unnamed arguments!

[Advanced] – Discrete Distribution.

Usage

unuran.discr.new(cdf=NULL, pv=NULL, pmf=NULL, lb=NA, ub=NA,
                 mode=NA, sum=NA, name=NA)

Arguments

cdf	cumulative distribution function. (R function)
pv	probability vector. (numeric vector)
pmf	probability mass function. (R function)
mode	mode of distribution. (numeric, integer)
lb	lower bound of domain; use -Inf if unbounded from left. (numeric, integer)
ub	upper bound of domain; use Inf if unbounded from right; when pmf is not given, the default ub=Inf is used. (numeric, integer)
sum	sum over pv / pmf; used for computing normalization constants if required. (numeric)
name	name of distribution. (string)

Details

Creates an instance of class unuran.discr. For more details see also unuran.new.

The user is responsible that the given informations are consistent. It depends on the chosen method which information must be given / are used.

Note

unuran.discr.new(...) is an alias for new("unuran.discr", ...).

Author(s)

Josef Leydold and Wolfgang H\"ormann [e-mail].

References

W. H\"ormann, J. Leydold, and G. Derflinger (2004): Automatic Nonuniform Random Variate Generation. Springer-Verlag, Berlin Heidelberg.

See Also

unuran.discr, unuran.new, unuran.

Examples

## Create a distribution object with given PV and mode
mypv <- dbinom(0:100,100,0.3)
distr <- new("unuran.discr", pv=mypv, lb=0, mode=30)

## Create discrete distribution with given probability vector
## (the PV need not be normalized)
pv <- c(1.,2.,1.5,0.,3.,1.2)     
dpv <- new("unuran.discr", pv=pv, lb=1)

## Create discrete distribution with given PMF
pmf <- function(x) dbinom(x,100,0.3)
dpmf <- new("unuran.discr", pmf=pmf, lb=0, ub=100)

Runuran documentation built on Jan. 17, 2023, 5:17 p.m.