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agfh: Agnostic Fay-Herriot Model for Small Area Statistics
Implements the Agnostic Fay-Herriot model, an extension of the traditional small area model. In place of normal sampling errors, the sampling error distribution is estimated with a Gaussian process to accommodate a broader class of distributions. This flexibility is most useful in the presence of bounded, multi-modal, or heavily skewed sampling errors.
Getting started
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Package details |
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| Author | Marten Thompson [aut, cre, cph], Snigdhansu Chatterjee [ctb, cph] |
| Maintainer | Marten Thompson <thom7058@umn.edu> |
| License | GPL (>= 3) |
| Version | 0.2.1 |
| Package repository | View on CRAN |
| Installation |
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