Auxiliary function for the log-likelihood estimation of CUBE models with covariates only for the feeling component
Auxiliary function for the log-likelihood estimation of CUBE models with covariates only for the feeling component
Compute the opposite of the scalar function that is maximized when running the E-M algorithm for CUBE models with covariates only for the feeling component.
effecubecsi(param, ordinal, W, m)
Arguments
param: Vector of length equal to NCOL(W) + 3 whose entries are the initial parameters estimates
ordinal: Vector of ordinal responses
W: Matrix of the selected covariates for explaining the feeling component