Functions to compute small area estimates based on a basic area or unitlevel model. The model is fit using restricted maximum likelihood, or in a hierarchical Bayesian way. In the latter case numerical integration is used to average over the posterior density for the betweenarea variance. The output includes the model fit, small area estimates and corresponding MSEs, as well as some model selection measures. Additional functions provide means to compute aggregate estimates and MSEs, to minimally adjust the small area estimates to benchmarks at a higher aggregation level, and to graphically compare different sets of small area estimates.
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Author  Harm Jan Boonstra 
Date of publication  20120905 13:03:20 
Maintainer  Harm Jan Boonstra <hjboonstra@gmail.com> 
License  GPL3 
Version  1.0 
Package repository  View on CRAN 
Installation  Install the latest version of this package by entering the following in R:

Package overview 
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