Learn R Programming

CUB (version 0.1)

probcube: Probability distribution of a CUBE model without covariates

Description

Compute the probability distribution of a CUBE model without covariates.

Usage

probcube(m, pai, csi, phi)

Arguments

m
Number of ordinal categories
pai
Uncertainty parameter
csi
Feeling parameter
phi
Overdispersion parameter

Value

The vector of the probability distribution of a CUBE model without covariates

References

Iannario, M. (2014). Modelling Uncertainty and Overdispersion in Ordinal Data, Communications in Statistics - Theory and Methods, 43, 771--786

See Also

betar, betabinomial

Examples

Run this code
m<-9
pai<-0.3
csi<-0.8
phi<-0.1
pr<-probcube(m, pai, csi, phi)
plot(1:m,pr,type="h", main="CUBE probability distribution",xlab="Ordinal categories")
points(1:m,pr,pch=19)

Run the code above in your browser using DataLab