loglikcubecov function

Log-likelihood function of a CUBE model with covariates

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

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)