ellecub function

Log-likelihood function of a CUB model without covariates

Compute the log-likelihood function of a CUB model without covariates fitting ordinal responses, possibly with subjects' specific parameters.

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

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)

See Also

loglikCUB