Small Area Estimation with Cluster Information for Estimation of Non-Sampled Areas
Akaike's An Information Criterion.
Autoplot EBLUP results.
Create a complete ggplot appropriate to a particular data type
Extract Model Coefficients.
EBLUPs based on a Fay-Herriot Model with Cluster Information.
Synthetic Estimator.
EBLUPs based on a Fay-Herriot Model.
Extract Log-Likelihood.
Summarizing EBLUP Model Fits.
Implementation of small area estimation (Fay-Herriot model) with EBLUP (Empirical Best Linear Unbiased Prediction) Approach for non-sampled area estimation by adding cluster information and assuming that there are similarities among particular areas. See also Rao & Molina (2015, ISBN:978-1-118-73578-7) and Anisa et al. (2013) <doi:10.9790/5728-10121519>.