README.md

In RprobitB: Bayes Estimation of Latent Class Mixed Multinomial Probit Models

RprobitB

The goal of RprobitB is to fit mixed probit models to choice data. The package differs from comparable packages in two ways: Bayesian estimation and a focus on taste heterogeneity.

Installation

You can install the released version of RprobitB from CRAN with:

install.packages("RprobitB")

Documentation

The package is documented in several vignettes:

browseVignettes("RprobitB")

Example

This is a basic example to show how to fit a mixed probit model and make choice predictions:

library(RprobitB)
data("Train", package = "mlogit")
data = prepare(form = choice ~ price | 0 | time + comfort + change,
               choice_data = Train,
               re = "price",
               standardize = "all",
               test_prop = 0.5)
model = mcmc(data$train)
summary(model)
plot(model, type = "mixture")
predict(model, data$test)

RprobitB documentation built on Nov. 12, 2021, 5:08 p.m.