loglikcubecov: Log-likelihood function of a CUBE model with covariates

In CUB: A Class of Mixture Models for Ordinal Data

Description

Compute the log-likelihood function of a CUBE model for ordinal responses, with covariates for explaining all the three parameters.

Usage

loglikcubecov(m, ordinal, Y, W, Z, bet, gama, alpha)

Arguments

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

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