loglikcubpq: Log-likelihood function of a CUB model with covariates for...

In CUB: A Class of Mixture Models for Ordinal Data

Description

Compute the log-likelihood function of a CUB model fitting ordinal data with covariates for explaining both the feeling and the uncertainty components.

Usage

loglikcubpq(m, ordinal, Y, W, bet, gama)

Arguments

m	Number of ordinal categories
ordinal	Vector of ordinal responses
Y	Matrix of selected covariates for explaining the uncertainty component
W	Matrix of selected covariates for explaining the feeling component
bet	Vector of parameters for the uncertainty component, with length equal to NCOL(Y)+1 to account for an intercept term (first entry of bbet)
gama	Vector of parameters for the feeling component, whose length equals NCOL(W) + 1 to account for an intercept term (first entry of gama)

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