| as_cov_names | Re-label alternative specific covariates |
| check_form | Check model formula |
| check_prior | Check prior parameters |
| choice_berserk | Data of berserking choice |
| choice_probabilities | Compute choice probabilities |
| classification | Classify deciders preference-based |
| coef.RprobitB_fit | Extract model effects |
| compute_p_si | Compute choice probabilities at posterior samples |
| cov_mix | Extract estimated covariance matrix of mixing distribution |
| create_lagged_cov | Create lagged choice covariates |
| fit_model | Fit probit model to choice data |
| get_cov | Extract covariates of choice occasion |
| mml | Approximate marginal model likelihood |
| model_selection | Compare fitted models |
| npar | Extract number of model parameters |
| npar.RprobitB_fit | Extract number of model parameters |
| overview_effects | Print effect overview |
| plot.RprobitB_data | Visualize choice data |
| plot.RprobitB_fit | Visualize fitted probit model |
| plot_roc | Plot ROC curve |
| point_estimates | Compute point estimates |
| predict.RprobitB_fit | Predict choices |
| pred_acc | Compute prediction accuracy |
| prepare_data | Prepare choice data for estimation |
| RprobitB_parameter | Define probit model parameter |
| R_hat | Compute Gelman-Rubin statistic |
| simulate_choices | Simulate choice data |
| train_test | Split choice data in train and test subset |
| transform.RprobitB_fit | Transform fitted probit model |
| update.RprobitB_fit | Update and re-fit probit model |