as_cov_names |
Re-label alternative specific covariates |
check_form |
Check model formula |
check_prior |
Check prior parameters |
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_choice |
Stated Preferences for Train Traveling |
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 |