Auxiliary function for the log-likelihood estimation of CUB models
Auxiliary function for the log-likelihood estimation of CUB models
Compute the opposite of the scalar function that is maximized when running the E-M algorithm for CUB models with covariates for the feeling parameter.
effe01(gama, esterno01, m)
Arguments
gama: Vector of the starting values of the parameters to be estimated
esterno01: A matrix binding together the vector of the posterior probabilities that each observation has been generated by the first component distribution of the mixture, the ordinal data and the matrix of the selected covariates accounting for an intercept term
Details
It is called as an argument for optim within CUB function for models with covariates for feeling or for both feeling and uncertainty