| adj_profile_likelihood_theta_var_maker | Maker Function: Adjusted Profile Likelihood of Latent Variance |
| adj_resid_likelihood_theta_var_maker | Maker Function: Adjusted Residual Likelihood of Latent Variance |
| agfh_theta_new_pred | Agnostic Fay-Herriot Hierarchical Bayesian Model Predictions at Latent Level |
| anderson_darling | Anderson-Darling Normality Test |
| beta_err_gen | Generate Data with Beta Sampling Errors |
| cramer_vonmises | Cramer-Von Mises Normality Test |
| gamma_err_gen | Generate Data with Gamma Sampling Errors |
| hb_theta_new_pred | Traditional Fay-Herriot Hierarchical Bayesian Model Predictions |
| kolmogorov_smirnov | Kolmogorov-Smirnov Normality Test |
| make_agfh_sampler | Maker Function: Agnostic Fay-Herriot Sampler |
| make_gibbs_sampler | Maker Function: Traditional Fay-Herriot Gibbs Sampler |
| map_from_density | Calculate the MAP Estimate from Posterior Samples |
| mse | Calculate the Mean Squared Error Between two Vectors |
| null_gen | Generate Data with Normal Sampling Errors |
| resid_likelihood_theta_var_maker | Maker Function: Residual Likelihood of Latent Variance |
| RM_beta_eblue | Traditional EBLUE Estimator of Beta |
| rm_beta_eblue | Traditional EBLUE Estimator of Beta |
| RM_theta_eblup | Traditional EBLUP Estimator of Theta |
| rm_theta_eblup | Traditional EBLUP Estimator of Theta |
| RM_theta_new_pred | Traditional EBLUP Estimator of Theta for new 'X' values |
| rm_theta_new_pred | Traditional EBLUP Estimator of Theta for new 'X' values |
| RM_theta_var_moment_est | Moment-Based Estimator of Latent Model Variance |
| rm_theta_var_moment_est | Moment-Based Estimator of Latent Model Variance |
| shapiro_wilk | Shaprio-Wilk Normality Test |
| test_u_normal | Normality Test |
| theta_var_est_grid | Basic Grid Optimizer for Likelihood |