ellecub {CUB} | R Documentation |
Log-likelihood function of a CUB model without covariates
Description
Compute the log-likelihood function of a CUB model without covariates fitting ordinal responses, possibly with subjects' specific parameters.
Usage
ellecub(m,ordinal,assepai,assecsi)
Arguments
m |
Number of ordinal categories |
ordinal |
Vector of ordinal responses |
assepai |
Vector of uncertainty parameters for given observations
(with the same length as |
assecsi |
Vector of feeling parameters for given observations
(with the same length as |
See Also
Examples
m<-7
n0<-230
n1<-270
bet<-c(-1.5,1.2)
gama<-c(0.5,-1.2)
pai0<-logis(0,bet); csi0<-logis(0,gama)
pai1<-logis(1,bet); csi1<-logis(1,gama)
ordinal0<-simcub(n0,m,pai0,csi0)
ordinal1<-simcub(n1,m,pai1,csi1)
ordinal<-c(ordinal0,ordinal1)
assepai<-c(rep(pai0,n0),rep(pai1,n1))
assecsi<-c(rep(csi0,n0),rep(csi1,n1))
lli<-ellecub(m,ordinal,assepai,assecsi)
[Package CUB version 1.1.5 Index]