Rchoice0.3-6 package

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>.

Maintainer: Mauricio Sarrias License: GPL (>= 2) Last published: 2023-03-10