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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.
You can install the released version of RprobitB from CRAN with:
install.packages("RprobitB")
The package is documented in several vignettes:
browseVignettes("RprobitB")
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)
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