R: Agnostic Fay-Herriot Model for Small Area Statistics

# Agnostic Fay-Herriot Model for Small Area Statistics

## Documentation for package ‘agfh’ version 0.2.1

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

## Help Pages

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