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saeHB.TF.beta

SAE using HB Twofold Subarea Model under Beta Distribution

Estimates area and subarea level proportions using the Small Area Estimation (SAE) Twofold Subarea Model with a hierarchical Bayesian (HB) approach under Beta distribution. A number of simulated datasets generated for illustration purposes are also included. The 'rstan' package is employed to estimate parameters via the Hamiltonian Monte Carlo and No U-Turn Sampler algorithm. The model-based estimators include the HB mean, the variation of the mean, and quantiles. For references, see Rao and Molina (2015) <doi:10.1002/9781118735855>, Torabi and Rao (2014) <doi:10.1016/j.jmva.2014.02.001>, Leyla Mohadjer et al.(2007) <http://www.asasrms.org/Proceedings/y2007/Files/JSM2007-000559.pdf>, Erciulescu et al.(2019) <doi:10.1111/rssa.12390>, and Yudasena (2024).

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0.2.0 rolling linux/jammy R-4.5 saeHB.TF.beta_0.2.0.tar.gz 1001.6 KiB
0.2.0 rolling linux/noble R-4.5 saeHB.TF.beta_0.2.0.tar.gz 1014.4 KiB
0.2.0 rolling source/ R- saeHB.TF.beta_0.2.0.tar.gz 115.4 KiB
0.2.0 latest linux/jammy R-4.5 saeHB.TF.beta_0.2.0.tar.gz 1001.6 KiB
0.2.0 latest linux/noble R-4.5 saeHB.TF.beta_0.2.0.tar.gz 1014.4 KiB
0.2.0 latest source/ R- saeHB.TF.beta_0.2.0.tar.gz 115.4 KiB
0.2.0 2026-04-26 source/ R- saeHB.TF.beta_0.2.0.tar.gz 115.4 KiB
0.2.0 2026-04-23 source/ R- saeHB.TF.beta_0.2.0.tar.gz 115.4 KiB
0.2.0 2026-04-09 windows/windows R-4.5 saeHB.TF.beta_0.2.0.zip 1.2 MiB

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