Discrete Choice (Binary, Poisson and Ordered) Models with Random Parameters
Bread for sandwiches
Get average marginal effects for heterokedastic binary models
Get average marginal effects for IV Probit model.
Get the conditional individual coefficients
Get average marginal effects for heterokedastic binary models and IV p...
Gradient for observations
Get Model Summaries for use with "mtable" for objects of class effect....
Get Model Summaries for use with "mtable" for objects of class effect....
Get Model Summaries for use with "mtable" for objects of class hetprob
Get Model Summaries for use with "mtable" for objects of class ivpml
Get Model Summaries for use with "mtable" for object of class Rchoice
Estimate heteroskedastic binary (Probit or Logit) model.
Estimate Instrumental Variable Probit model by Maximum Likelihood.
Plot the distribution of conditional expectation for random parameters...
Estimate discrete choice model with random parameters
Model formula for Rchoice models
vcov method for Rchoice objects
An implementation of simulated maximum likelihood method for the estimation of Binary (Probit and Logit), Ordered (Probit and Logit) and Poisson models with random parameters for cross-sectional and longitudinal data as presented in Sarrias (2016) <doi:10.18637/jss.v074.i10>.