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. |