Man pages for RprobitB
Bayes Estimation of Latent Class Mixed Multinomial Probit Models
| check_distr | Check 'distr'. |
| check_form | Check 'form'. |
| check_prior | Check 'prior'. |
| choice_probs | Compute choice probabilities of an 'RprobitB_model'. |
| classify | Classify deciders. |
| compare | Compare fitted models. |
| compute_choice_probabilities | Compute probit choice probabilities for a single choice... |
| compute_log_likelihood | Compute log-likelihood of an 'RprobitB_model'. |
| compute_point_estimates | Compute point estimates of an 'RprobitB_model'. |
| compute_sufficient_statistics | Compute sufficient statistics. |
| create_labels_alpha | Create labels for 'alpha'. |
| create_labels_b | Create labels for 'b'. |
| create_labels_Omega | Create labels for 'Omega'. |
| create_labels_s | Create labels for 's'. |
| create_labels_Sigma | Create labels for 'Sigma'. |
| create_parameter_labels | Create parameters labels. |
| delta | Difference operator. |
| dmvnrm_arma_mc | Multivariate normal density |
| filter_gibbs_samples | Filter Gibbs samples. |
| gibbs_sampling | Gibbs sampler. |
| is_covariance_matrix | Check covariance matrix properties. |
| mcmc | Perform Markov chain Monte Carlo simulation for fitting a... |
| overview_effects | Overview of effects. |
| plot_acf | Autocorrelation plot of Gibbs samples. |
| plot_effects | Visualizing the linear effects. |
| plot_mixture_contour | Plotting mixing distribution contours. |
| plot_mixture_marginal | Plotting marginal mixing distributions. |
| plot.RprobitB_model | Plot method for 'RprobitB_model'. |
| plot_trace | Visualizing the trace of Gibbs samples. |
| predict | Predict choices. |
| preference_flip | Check for flip in preferences after change in model scale. |
| 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 |
| 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'. |
| rwishart | Draw from a Wishart |
| set_initial_gibbs_values | Set initial values for the Gibbs sampler. |
| 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... |
| transform_gibbs_samples | Transformation of Gibbs samples. |
| transform_parameter | Transformation of parameter values. |
| undiff_Sigma | Transform differenced to non-differenced error term... |
