Package: saeeb 0.1.0

saeeb: Small Area Estimation for Count Data

Provides small area estimation for count data type and gives option whether to use covariates in the estimation or not. By implementing Empirical Bayes (EB) Poisson-Gamma model, each function returns EB estimators and mean squared error (MSE) estimators for each area. The EB estimators without covariates are obtained using the model proposed by Clayton & Kaldor (1987) <doi:10.2307/2532003>, the EB estimators with covariates are obtained using the model proposed by Wakefield (2006) <doi:10.1093/biostatistics/kxl008> and the MSE estimators are obtained using Jackknife method by Jiang et. al. (2002) <doi:10.1214/aos/1043351257>.

Authors:Rizki Ananda Fauziah, Ika Yuni Wulansari

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saeeb.pdf |saeeb.html
saeeb/json (API)

# Install 'saeeb' in R:
install.packages('saeeb', repos = c('https://ikiii.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • lip - Lip Cancer in Scotland

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 119 downloads 2 exports 6 dependencies

Last updated 5 years agofrom:1e368f6cbb. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 31 2025
R-4.5-winOKMar 31 2025
R-4.5-macOKMar 31 2025
R-4.5-linuxOKMar 31 2025
R-4.4-winOKMar 31 2025
R-4.4-macOKMar 31 2025
R-4.4-linuxOKMar 31 2025
R-4.3-winOKMar 31 2025
R-4.3-macOKMar 31 2025

Exports:ebcovebnocov

Dependencies:COUNTlatticeMASSmsmesandwichzoo