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. |