| bernoulli_like | Bernoulli likelihood |
| beta_fullcond | Beta full conditional distribution |
| cd_fullcond | c and d joint full conditional distribution |
| c_fullcond | c full conditional distribution |
| coef.FLAMES | Coefficients for FLAMES class |
| CPO_bernoulli | Conditional Predictive Ordinate for Poisson data |
| df_fullcond | Degree of freedom full conditional distribution |
| d_fullcond | d full conditional distribution |
| DIC | Deviance Information Criterion |
| fit_measures | LPML, DIC and WAIC measures |
| FLAMES-class | An object of 'FLAMES' class |
| inv_link | Inverse link function for several models (cumulative... |
| lambda_fullcond | Lambda for degree of freedom full conditional distribution |
| link | Link function for several models |
| LPML | Log Pseudo Marginal Likelihood |
| make_p | Calculate p |
| mcmc_bin | MCMC for binary regression |
| mcmc_bin_arms | MCMC for binary regression - ARMS version |
| mcmc_bin_metropolis | MCMC for binary regression - Metropolis version |
| plot.FLAMES | Plot for FLAMES class |
| print.FLAMES | Print for FLAMES class |
| summary.FLAMES | Summary for FLAMES class (coda is necessary) |
| WAIC | Widely Applicable Information Criterion |
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