CUB (version 1.1.5)

loglikcuben: Log-likelihood function of CUBE models for ordinal data

Description

Compute the log-likelihood function of a CUBE model without covariates for ordinal responses, possibly with different vectors of parameters for each observation.

Usage

loglikcuben(m, ordinal, assepai, assecsi, assephi)

Arguments

m

Number of ordinal categories

ordinal

Vector of ordinal responses

assepai

Vector of uncertainty parameters for the given observations (with the same length as ordinal)

assecsi

Vector of feeling parameters for the given observations (with the same length as ordinal)

assephi

Vector of overdispersion parameters for the given observations (with the same length as ordinal)

See Also

loglikCUBE

Examples

m<-8
n0<-230;  n1<-270
bet<-c(-1.5,1.2)
gama<-c(0.5,-1.2)
alpha<-c(-1.2,-0.5)
pai0<-1/(1+exp(-bet[1])); csi0<-1/(1+exp(-gama[1])); phi0<-exp(alpha[1])
ordinal0<-simcube(n0,m,pai0,csi0,phi0)
pai1<-1/(1+exp(-sum(bet))); csi1<-1/(1+exp(-sum(gama))); phi1<-exp(sum(alpha))
ordinal1<-simcube(n1,m,pai1,csi1,phi1)
ordinal<-c(ordinal0,ordinal1)
assepai<-c(rep(pai0,n0),rep(pai1,n1))
assecsi<-c(rep(csi0,n0),rep(csi1,n1))
assephi<-c(rep(phi0,n0),rep(phi1,n1))
lli<-loglikcuben(m,ordinal,assepai,assecsi,assephi)