binaryChoice | Binary choice models. |
coef.selection | Extract Coefficients from Selection Models |
coef.summary.selection | Extract Coefficients from Selection Models |
fitted.probit | probit-methods |
fitted.selection | Fitted Values of Selection Models |
heckit | Heckman-style selection and treatment effect models |
heckitVcov | Heckit Variance Covariance Matrix |
invMillsRatio | Inverse Mill's Ratio of probit models |
linearPredictors | Calculates linear predictors for different models |
linearPredictors.probit | Calculates linear predictors for different models |
logLik.probit | probit-methods |
logLik.selection | selection-methods |
model.frame.binaryChoice | Data of Binary Choice Models |
model.frame.selection | Data of Selection Models |
model.matrix.binaryChoice | Design Matrix of Binary Choice Models |
model.matrix.selection | Design Matrix of Selection Models |
Mroz87 | U.S. Women's Labor Force Participation |
nlswork | National Longitudinal Survey of Young Working Women |
nObs.probit | probit-methods |
nobs.probit | probit-methods |
nObs.selection | selection-methods |
nobs.selection | selection-methods |
predict.probit | Predict method for fitted probit models |
predict.selection | Predict method for fitted sample selection models |
print.coef.selection | Extract Coefficients from Selection Models |
print.probit | probit-methods |
print.selection | selection-methods |
print.summary.probit | Summarizing Probit Estimations |
print.summary.selection | Summarizing Selection Estimations |
probit | Binary choice models. |
probit-methods | probit-methods |
RandHIE | RAND Health Insurance Experiment |
residuals.probit | Residuals of probit models |
residuals.selection | Residuals of Selection Models |
selection | Heckman-style selection and treatment effect models |
selection-methods | selection-methods |
Smoke | Survey Responses on Smoking Behaviour |
summary.probit | Summarizing Probit Estimations |
summary.selection | Summarizing Selection Estimations |
treatReg | Heckman-style selection and treatment effect models |
vcov.selection | Extract Variance Covariance Matrix |