Compute the variance-covariance matrix of parameter estimates of a CUB model without covariates.
varcovgecub(ordinal,Y,W,X,bet,gama,omega,shelter)Vector of ordinal responses
Matrix of selected covariates to explain the uncertainty component (default: no covariate is included in the model)
Y Matrix of selected covariates to explain the feeling component (default: no covariate is included in the model)
Matrix of selected covariates to explain the shelter component (default: no covariate is included in the model)
Parameter vector for the Uncertainty component
Parameter vector for the Feeling component
Parameter vector for the shelter component
Cateogry corresponding to the shelter effect
The function checks if the variance-covariance matrix is positive-definite: if not, it returns a warning message and produces a matrix with NA entries.
probgecub