Small fixes.
Added train_choice data set.
logLik() method now returns a logLik object that can be passed to AIC() and BIC() methods from {stats}.
Small bug fixes for the ordered probit model case.
Ranked probit models
Ordered probit models
Print method for RprobitB_parameter.
Splitting the data set into a train and test part can now be done by the function train_test(). Consequently, the argument test_prob was removed in prepare_data() and simulate_choices().
The function simulate_choices() does not have the argument distr anymore. Instead, covariates can be supplied via the covariates argument. Consequently, the argument standardize was removed as well.
Simplified specifying the utility scale, see the help page of RprobitB_normalization().
The function compare is now called model_selection().
The function prepare is now called prepare_data().
The function simulate is now called simulate_choices() to not mask stats::simulate().
The function mcmc is now called fit_model().
The function choice_probs is now called choice_probabilities().
Integrated S3 classes and methods.
Several new functionalities.