| 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 |