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sae.projection

Small Area Estimation Using Model-Assisted Projection Method

Combines information from two independent surveys using a model-assisted projection method. Designed for survey sampling scenarios where a large sample collects only auxiliary information (Survey 1) and a smaller sample provides data on both variables of interest and auxiliary variables (Survey 2). Implements a working model to generate synthetic values of the variable of interest by fitting the model to Survey 2 data and predicting values for Survey 1 based on its auxiliary variables (Kim & Rao, 2012) <doi:10.1093/biomet/asr063>.

Versions across snapshots

VersionRepositoryFileSize
0.1.5 rolling linux/jammy R-4.5 sae.projection_0.1.5.tar.gz 1.3 MiB
0.1.5 rolling linux/noble R-4.5 sae.projection_0.1.5.tar.gz 1.3 MiB
0.1.5 rolling source/ R- sae.projection_0.1.5.tar.gz 959.1 KiB
0.1.5 latest linux/jammy R-4.5 sae.projection_0.1.5.tar.gz 1.3 MiB
0.1.5 latest linux/noble R-4.5 sae.projection_0.1.5.tar.gz 1.3 MiB
0.1.5 latest source/ R- sae.projection_0.1.5.tar.gz 959.1 KiB
0.1.5 2026-04-26 source/ R- sae.projection_0.1.5.tar.gz 959.1 KiB
0.1.5 2026-04-23 source/ R- sae.projection_0.1.5.tar.gz 959.1 KiB
0.1.5 2026-04-09 windows/windows R-4.5 sae.projection_0.1.5.zip 1.3 MiB
0.1.3 2025-04-20 source/ R- sae.projection_0.1.3.tar.gz 3.2 MiB

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