simihg: Simulation routine for IHG models
In CUB: A Class of Mixture Models for Ordinal Data
simihg R Documentation
Simulation routine for IHG models
Description
Generate n pseudo-random observations following the given IHG distribution.
Usage
simihg(n,m,theta)
Arguments
n
Number of simulated observations
m
Number of ordinal categories
theta
Preference parameter
See Also
probihg
Examples
n<-300
m<-9
theta<-0.4
simulation<-simihg(n,m,theta)
plot(table(simulation),xlab="Number of categories",ylab="Frequencies")
CUB documentation built on May 29, 2024, 5:23 a.m.
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| simihg | R Documentation |
Simulation routine for IHG models
Description
Generate n pseudo-random observations following the given IHG distribution.
Usage
simihg(n,m,theta)
Arguments
n |
Number of simulated observations |
m |
Number of ordinal categories |
theta |
Preference parameter |
See Also
probihg
Examples
n<-300
m<-9
theta<-0.4
simulation<-simihg(n,m,theta)
plot(table(simulation),xlab="Number of categories",ylab="Frequencies")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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