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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.1 |
rolling linux/jammy R-4.5 | agfh_0.2.1.tar.gz |
215.3 KiB |
0.2.1 |
rolling linux/noble R-4.5 | agfh_0.2.1.tar.gz |
215.3 KiB |
0.2.1 |
rolling source/ R- | agfh_0.2.1.tar.gz |
134.2 KiB |
0.2.1 |
latest linux/jammy R-4.5 | agfh_0.2.1.tar.gz |
215.3 KiB |
0.2.1 |
latest linux/noble R-4.5 | agfh_0.2.1.tar.gz |
215.3 KiB |
0.2.1 |
latest source/ R- | agfh_0.2.1.tar.gz |
134.2 KiB |
0.2.1 |
2026-04-26 source/ R- | agfh_0.2.1.tar.gz |
134.2 KiB |
0.2.1 |
2026-04-23 source/ R- | agfh_0.2.1.tar.gz |
134.2 KiB |
0.2.1 |
2026-04-09 windows/windows R-4.5 | agfh_0.2.1.zip |
216.7 KiB |
0.2.1 |
2025-04-20 source/ R- | agfh_0.2.1.tar.gz |
134.2 KiB |