boot | Bootstrap covariance matrix for least squares estimates of linear regression |
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 | Multinomial probit model |
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.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 |
starsVector | Stars for p-values |
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 |