# Bayes Estimation of Latent Class Mixed Multinomial Probit Models

## Documentation for package ‘RprobitB’ version 1.0.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

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
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
R_hat | Compute Gelman-Rubin statistic.
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.