boot                    Bootstrap covariance matrix for least squares
                        estimates of linear regression
coef.mnprobit           Coefficients extraction method for mnprobit.
coef.mvoprobit          Coefficients extraction method for mvoprobit.
cps                     A subset of data from Current Population Survey
                        (CPS).
delta_method            Delta method for mvoprobit and mnprobit
                        functions
fitted.mnprobit         Extract Model Fitted Values
fitted.mvoprobit        Extract Model Fitted Values
formula.mnprobit        Formulas of mnprobit model.
formula.mvoprobit       Formulas of mvoprobit model.
formula_merge           Merge formulas
formula_split           Split formula by symbol
grad_mnprobit           Gradient of the Log-likelihood Function of
                        Multinomial Probit Model
grad_mvoprobit          Gradient of the Log-likelihood Function of
                        Multivariate Ordered Probit Model
lnL_mnprobit            Log-likelihood Function of Multinomial Probit
                        Model
lnL_mvoprobit           Log-likelihood Function of Multivariate Ordered
                        Probit Model
logLik.mnprobit         Extract Log-Likelihood from a Fit of the
                        mnprobit Function.
logLik.mvoprobit        Extract Log-Likelihood from a Fit of the
                        mvoprobit Function.
loocv                   Leave-one-out cross-validation
lrtest                  Likelihood ratio test
mnprobit                Multinomial probit model
mvoprobit               Multivariate ordered probit model with
                        heteroscedasticity and (non-random) sample
                        selection.
nobs.mnprobit           Extract the Number of Observations from a Fit
                        of the mnprobit Function.
nobs.mvoprobit          Extract the Number of Observations from a Fit
                        of the mvoprobit Function.
predict.mnprobit        Predict method for mnprobit function
predict.mvoprobit       Predict method for mvoprobit function
print.lrtest            Print Method for Likelihood Ratio Test
print.mnprobit          Print for an Object of Class mnprobit
print.mvoprobit         Print for an Object of Class mvoprobit
print.summary.delta_method
                        Print summary for an Object of Class
                        delta_method
print.summary.lrtest    Print Summary Method for Likelihood Ratio Test
print.summary.mnprobit
                        Print summary for an Object of Class mnprobit
print.summary.mvoprobit
                        Print summary for an Object of Class mvoprobit
sigma.mnprobit          Extract Residual Standard Deviation 'Sigma'
sigma.mvoprobit         Extract Residual Standard Deviation 'Sigma'
starsVector             Stars for p-values
summary.delta_method    Summary for an Object of Class delta_method
summary.lrtest          Summary Method for Likelihood Ratio Test
summary.mnprobit        Summary for an Object of Class mnprobit
summary.mvoprobit       Summary for an Object of Class mvoprobit
vcov.mnprobit           Calculate Variance-Covariance Matrix for a
                        mnprobit Object.
vcov.mvoprobit          Calculate Variance-Covariance Matrix for a
                        mvoprobit Object.
