| unuran.discr.new {Runuran} | R Documentation |
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.
unuran.discr.new(pv=NULL, pmf=NULL, lb=NA, ub=NA,
mode=NA, sum=NA, name=NA)
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) |
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.
unuran.discr.new(...) is an alias for
new("unuran.discr", ...).
Josef Leydold and Wolfgang H"ormann unuran@statmath.wu-wien.ac.at.
W. H"ormann, J. Leydold, and G. Derflinger (2004): Automatic Nonuniform Random Variate Generation. Springer-Verlag, Berlin Heidelberg.
unuran.discr, unuran.new,
unuran.
## 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)