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... |
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