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saens

Small Area Estimation with Cluster Information for Estimation of Non-Sampled Areas

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>.

Versions across snapshots

VersionRepositoryFileSize
0.1.2 rolling linux/jammy R-4.5 saens_0.1.2.tar.gz 279.6 KiB
0.1.2 rolling linux/noble R-4.5 saens_0.1.2.tar.gz 279.4 KiB
0.1.2 rolling source/ R- saens_0.1.2.tar.gz 223.2 KiB
0.1.2 latest linux/jammy R-4.5 saens_0.1.2.tar.gz 279.6 KiB
0.1.2 latest linux/noble R-4.5 saens_0.1.2.tar.gz 279.4 KiB
0.1.2 latest source/ R- saens_0.1.2.tar.gz 223.2 KiB
0.1.2 2026-04-26 source/ R- saens_0.1.2.tar.gz 223.2 KiB
0.1.2 2026-04-23 source/ R- saens_0.1.2.tar.gz 223.2 KiB
0.1.2 2026-04-09 windows/windows R-4.5 saens_0.1.2.zip 283.0 KiB
0.1.2 2025-04-20 source/ R- saens_0.1.2.tar.gz 223.2 KiB

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