as.mcmc.crr_fit         Convert to coda mcmc.list
as_draws.crr_fit        Convert to posterior draws_array
coef.crr_fit            Posterior mean coefficients
coef_precompute         Precompute quantities for the conjugate
                        coefficient update
crr                     Bayesian combinatorial response regression
crr_benchmark           Benchmark samplers on a common data set
crr_constraints         Constraint system for combinatorial responses
crr_control             Sampler control parameters
crr_diagnostics         MCMC and regression diagnostics report
crr_ess                 Effective sample sizes
crr_ppc                 Posterior predictive goodness-of-fit checks
crr_prior               Prior specification for crr models
crr_rhat                Split-Rhat convergence diagnostics
draw_utility            Draw latent utilities from their
                        truncated-normal full conditional
dual_feasible           Check dual-certificate feasibility
fitted.crr_fit          Fitted responses
init_dual               Initialize dual certificates
is_feasible             Check feasibility of responses
is_tum                  Check total unimodularity
plot.crr_fit            Diagnostic plots for a crr fit
predict.crr_fit         Posterior predictions
random_constraints      Generate a random totally unimodular constraint
                        system
residuals.crr_fit       Response residuals
sample_dual             Update dual certificates given latent utilities
sample_utility          Metropolis-Hastings update of the latent
                        utilities
simulate_crr            Simulate combinatorial response regression data
summary.crr_fit         Posterior summary of a crr fit
update_coef             Conjugate Gaussian update of the regression
                        coefficients
