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 |