R: Discrete Choice (Binary, Poisson and Ordered) Models with Random Parameters

# Discrete Choice (Binary, Poisson and Ordered) Models with Random Parameters

## Documentation for package ‘Rchoice’ version 0.3-6

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

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