| asymcnfB | Asymmetric simultaneous bayesian confidence bands |
| distreg | Bayesian distribution regression |
| distreg.asymp | Asymptotic distribution regression |
| distreg.sas | Semi-asymptotic bayesian distribution |
| distreg_cfa | Counterfactual bayesian distribution regression |
| distreg_cfa.sas | Semi-asymptotic counterfactual distribution |
| dr_asympar | Binary glm object at several threshold values |
| fitdist | The distribution of mean fitted logit probabilities |
| fitlogit | Fitted logit probabilities |
| IndepMH | Independence Metropolis-Hastings Algorithm |
| indicat | Indicator function |
| jdpar.asymp | Joint asymptotic mutivariate density of parameters |
| jntCBOM | Montiel Olea and Plagborg-Moller (2018) confidence bands |
| lapl_aprx | Laplace approximation of posterior to normal |
| lapl_aprx2 | Laplace approximation of posterior to normal |
| logit | Logit likelihood function |
| LogitLink | Logit function |
| parLply | Parallel compute |
| par_distreg | Parallel compute bayesian distribution regression |
| posterior | Posterior distribution |
| prior_n | Normal Prior distribution |
| prior_u | Uniform Prior distribution |
| quant_bdr | Quantile conversion of a bayesian distribution matrix |
| RWMH | Random Walk Metropolis-Hastings Algorithm |
| simcnfB | Symmetric simultaneous bayesian confidence bands |