R_hat                   Compute Gelman-Rubin statistic
RprobitB_parameter      Define probit model parameter
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
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
pred_acc                Compute prediction accuracy
predict.RprobitB_fit    Predict choices
prepare_data            Prepare choice data for estimation
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
