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