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| AIC.hetprob | Estimate heterokedastic binary (Probit or Logit) model. |
| AIC.ivpml | Estimate Instrumental Variable Probit model by Maximum Likelihood. |
| AIC.Rchoice | Akaike's Information Criterion |
| Articles | Doctoral Publications |
| Attitudes | Attituded toward working mothers |
| BIC.hetprob | Estimate heterokedastic binary (Probit or Logit) model. |
| BIC.ivpml | Estimate Instrumental Variable Probit model by Maximum Likelihood. |
| BIC.Rchoice | Akaike's Information Criterion |
| bread.hetprob | Estimate heterokedastic binary (Probit or Logit) model. |
| bread.ivpml | Estimate Instrumental Variable Probit model by Maximum Likelihood. |
| bread.Rchoice | Bread for sandwiches |
| coef.hetprob | Estimate heterokedastic binary (Probit or Logit) model. |
| coef.ivpml | Estimate Instrumental Variable Probit model by Maximum Likelihood. |
| coef.Rchoice | Estimate discrete choice model with random parameters |
| cor.Rchoice | vcov method for Rchoice objects |
| cov.Rchoice | vcov method for Rchoice objects |
| df.residual.hetprob | Estimate heterokedastic binary (Probit or Logit) model. |
| df.residual.ivpml | Estimate Instrumental Variable Probit model by Maximum Likelihood. |
| df.residual.Rchoice | Estimate discrete choice model with random parameters |
| effect.hetprob | Get average marginal effects for heterokedastic binary models |
| effect.ivpml | Get average marginal effects for IV Probit model. |
| effect.Rchoice | Get the conditional individual coefficients |
| estfun.hetprob | Estimate heterokedastic binary (Probit or Logit) model. |
| estfun.ivpml | Estimate Instrumental Variable Probit model by Maximum Likelihood. |
| estfun.Rchoice | Gradient for observations |
| fitted.Rchoice | Estimate discrete choice model with random parameters |
| getSummary.effect.hetprob | Get Model Summaries for use with "mtable" for objects of class effect.hetprob |
| getSummary.effect.ivpml | Get Model Summaries for use with "mtable" for objects of class effect.ivpml |
| getSummary.hetprob | Get Model Summaries for use with "mtable" for objects of class hetprob |
| getSummary.ivpml | Get Model Summaries for use with "mtable" for objects of class ivpml |
| getSummary.Rchoice | Get Model Summaries for use with "mtable" for object of class Rchoice |
| Health | German Health Care Data |
| hetprob | Estimate heterokedastic binary (Probit or Logit) model. |
| is.rFormula | Model formula for Rchoice models |
| ivpml | Estimate Instrumental Variable Probit model by Maximum Likelihood. |
| logLik.hetprob | Estimate heterokedastic binary (Probit or Logit) model. |
| logLik.ivpml | Estimate Instrumental Variable Probit model by Maximum Likelihood. |
| logLik.Rchoice | Estimate discrete choice model with random parameters |
| model.frame.rFormula | Model formula for Rchoice models |
| model.matrix.hetprob | Estimate heterokedastic binary (Probit or Logit) model. |
| model.matrix.ivpml | Estimate Instrumental Variable Probit model by Maximum Likelihood. |
| model.matrix.Rchoice | Estimate discrete choice model with random parameters |
| model.matrix.rFormula | Model formula for Rchoice models |
| ordinal | Estimate discrete choice model with random parameters |
| plot.Rchoice | Plot the distribution of conditional expectation for random parameters. |
| predict.hetprob | Estimate heterokedastic binary (Probit or Logit) model. |
| predict.ivpml | Estimate Instrumental Variable Probit model by Maximum Likelihood. |
| print.hetprob | Estimate heterokedastic binary (Probit or Logit) model. |
| print.ivpml | Estimate Instrumental Variable Probit model by Maximum Likelihood. |
| print.Rchoice | Estimate discrete choice model with random parameters |
| print.summary.effect.hetprob | Get average marginal effects for heterokedastic binary models |
| print.summary.effect.ivpml | Get average marginal effects for IV Probit model. |
| print.summary.hetprob | Estimate heterokedastic binary (Probit or Logit) model. |
| print.summary.ivpml | Estimate Instrumental Variable Probit model by Maximum Likelihood. |
| print.summary.Rchoice | Estimate discrete choice model with random parameters |
| Rchoice | Estimate discrete choice model with random parameters |
| residuals.Rchoice | Estimate discrete choice model with random parameters |
| rFormula | Model formula for Rchoice models |
| se.cov.Rchoice | vcov method for Rchoice objects |
| summary.effect.hetprob | Get average marginal effects for heterokedastic binary models |
| summary.effect.ivpml | Get average marginal effects for IV Probit model. |
| summary.hetprob | Estimate heterokedastic binary (Probit or Logit) model. |
| summary.ivpml | Estimate Instrumental Variable Probit model by Maximum Likelihood. |
| summary.Rchoice | Estimate discrete choice model with random parameters |
| terms.hetprob | Estimate heterokedastic binary (Probit or Logit) model. |
| terms.ivpml | Estimate Instrumental Variable Probit model by Maximum Likelihood. |
| terms.Rchoice | Estimate discrete choice model with random parameters |
| update.Rchoice | Estimate discrete choice model with random parameters |
| vcov.hetprob | Estimate heterokedastic binary (Probit or Logit) model. |
| vcov.ivpml | Estimate Instrumental Variable Probit model by Maximum Likelihood. |
| vcov.Rchoice | vcov method for Rchoice objects |
| Workmroz | Labor Force Participation |