Changes in version 1.2.0 (2025-08-25) - Fix in npar.RprobitB_fit(). Parameters for the covariance matrices of the mixing distributions have been miscounted. - Fix in sufficient_statistics(). There was a bug in calculating sufficient statistics in the ordered case. - Added function mode_approx() to approximate conditional posterior modes. - Documentation improvements. Changes in version 1.1.4 (2024-02-26) - Small fixes and documentation improvements. Changes in version 1.1.3 (2024-02-08) - Small fixes. - Added train_choice data set. Changes in version 1.1.2 (2022-11-06) - 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. Changes in version 1.1.1 (2022-08-11) - Small documentation fixes. Changes in version 1.1.0 (2022-07-22) New functionality - Ranked probit models - Ordered probit models Updated functionality - 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(). Renamed functions - 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(). Changes in version 1.0.0 (2021-11-12) - Integrated S3 classes and methods. - Several new functionalities. Changes in version 0.1.0 (2021-05-15) - Initial version.