| unuran.discr-class {Runuran} | R Documentation |
The class "unuran.discr" provides am interface to UNU.RAN objects for discrete distributions. The interface might be changed in future releases. Do not use unnamed arguments!
Create a new instance of an "unuran.discr" object using
new ("unuran.discr",pv=NULL, pmf=NULL, lb=0, ub=Inf).
The user is responsible that the given informations are consistent. It depends on the chosen method which information must be given / are used.
Josef Leydold and Wolfgang H"ormann unuran@statmath.wu-wien.ac.at.
J. Leydold and W. H"ormann (2000-2007): UNU.RAN User Manual, see http://statmath.wu-wien.ac.at/unuran/.
## Create discrete distribution with given probability vector
pv <- c(1.,2.,1.5,0.,3.,1.2) ## PV need not be normalized
dpv <- new("unuran.discr",pv=pv)
## Make generator (using method DGT)
unr <- unuran.new(dpv, "dgt")
## Draw sample of size 100
x <- unuran.sample(unr, 100)
## Create discrete distribution with given probability mass function
pmf <- function(x) dbinom(x,100,0.3)
dpmf <- new("unuran.discr",pmf=pmf,lb=0,ub=100)
## Make generator (using method DGT)
unr <- unuran.new(dpmf, "dgt")
## Draw sample of size 100
x <- unuran.sample(unr, 100)