| 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. |