Functions to compute small area estimates based on a basic area or unit-level 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 between-area 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.
|Author||Harm Jan Boonstra|
|Date of publication||2012-09-05 13:03:20|
|Maintainer||Harm Jan Boonstra <firstname.lastname@example.org>|
|Package repository||View on CRAN|
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