Articles |
Doctoral Publications |
Attitudes |
Attituded toward working mothers |
bread.hetprob |
Estimate heteroskedastic binary (Probit or Logit) model. |
bread.ivpml |
Estimate Instrumental Variable Probit model by Maximum Likelihood. |
bread.Rchoice |
Bread for sandwiches |
coef.hetprob |
Estimate heteroskedastic 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 heteroskedastic 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 |
Get average marginal effects for heterokedastic binary models and IV probit models |
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 heteroskedastic 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 heteroskedastic binary (Probit or Logit) model. |
is.rFormula |
Model formula for Rchoice models |
ivpml |
Estimate Instrumental Variable Probit model by Maximum Likelihood. |
logLik.hetprob |
Estimate heteroskedastic 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 heteroskedastic 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 heteroskedastic binary (Probit or Logit) model. |
predict.ivpml |
Estimate Instrumental Variable Probit model by Maximum Likelihood. |
print.effect.hetprob |
Get average marginal effects for heterokedastic binary models |
print.effect.ivpml |
Get average marginal effects for IV Probit model. |
print.hetprob |
Estimate heteroskedastic 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 heteroskedastic 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 heteroskedastic 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 heteroskedastic 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 heteroskedastic 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 |