loglikcubecov

ordinal

Matrix of covariates for explaining the uncertainty component

Matrix of covariates for explaining the feeling component

Matrix of covariates for explaining the overdispersion component

Vector of parameters for the uncertainty component, with length equal to 
NCOL(Y) + 1 to account for an intercept term (first entry of bet)

Vector of parameters for the feeling component, with length equal to 
NCOL(W) + 1 to account for an intercept term (first entry of gama)

gama

Vector of parameters for the overdispersion component, with length equal to 
NCOL(Z) + 1 to account for an intercept term (first entry of alpha)

alpha


Compute the log-likelihood function of a CUBE model for ordinal responses,
 with covariates for explaining all the three parameters.
 @keywords internal
 @usage loglikcubecov(m, ordinal, Y, W, Z, bet, gama, alpha)


Estimate and test models for ordinal data concerning the family of
CUB models and their extensions (where CUB stands for Combination of a
discrete Uniform and a shifted Binomial distributions).

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

Description

Usage

Arguments