Agnostic Fay-Herriot Model for Small Area Statistics

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Documentation for package ‘agfh’ version 0.2.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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