# Bayesian Regression for Combinatorial Response Data

## Documentation for package ‘combreg’ version 0.2.0

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

## Help Pages

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