ellecub: Log-likelihood function of a CUB model without covariates

In CUB: A Class of Mixture Models for Ordinal Data

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

See Also

loglikCUB

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)

CUB documentation built on March 31, 2020, 5:14 p.m.