R_hat                   Compute Gelman-Rubin statistic.
RprobitB_data           Create object of class 'RprobitB_data'.
RprobitB_gibbs_samples_statistics
                        Compute parameter statistics.
RprobitB_latent_classes
                        Create object of class
                        'RprobitB_latent_classes'.
RprobitB_model          Create object of class 'RprobitB_model'.
RprobitB_normalization
                        Create object of class
                        'RprobitB_normalization'.
RprobitB_parameter      Create object of class 'RprobitB_parameter'.
choice_probs            Compute choice probabilities of an
                        'RprobitB_model'.
classify                Classify deciders.
compare                 Compare fitted models.
compute_log_likelihood
                        Compute log-likelihood of an 'RprobitB_model'.
delta                   Difference operator.
dmvnrm_arma_mc          Multivariate normal density
is_covariance_matrix    Check covariance matrix properties.
mcmc                    Perform Markov chain Monte Carlo simulation for
                        fitting a (latent class) (mixed) (multinomial)
                        probit model.
overview_effects        Overview of effects.
plot.RprobitB_model     Plot method for 'RprobitB_model'.
predict                 Predict choices.
prepare                 Prepare empirical choice data.
print.RprobitB_data     Print method for 'RprobitB_data'.
print.RprobitB_gibbs_samples_statistics
                        Print method for
                        'RprobitB_gibbs_samples_statistics'.
print.RprobitB_latent_classes
                        Print method for 'RprobitB_latent_classes'.
print.RprobitB_model    Print method for 'RprobitB_model'.
print.RprobitB_normalization
                        Print method for 'RprobitB_normalization'.
print.summary.RprobitB_data
                        Print method for the summary of
                        'RprobitB_data'.
print.summary.RprobitB_model
                        Print method for the summary of
                        'RprobitB_model'.
rdirichlet              Draw from Dirichlet
rwishart                Draw from a Wishart
set_mfrow               Balancing visualization of multiple figures.
simulate                Simulate choice data.
summary.RprobitB_data   Summary method for 'RprobitB_data'.
summary.RprobitB_model
                        Summary method for 'RprobitB_model'.
transform               Change the length of the burn-in period, the
                        thinning factor and the scale after Gibbs
                        sampling.
undiff_Sigma            Transform differenced to non-differenced error
                        term covariance matrix.
