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'))

Peer review:

Datasets:
  • lip - Lip Cancer in Scotland

On CRAN:

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

1.00 score 101 downloads 2 exports 6 dependencies

Last updated 5 years agofrom:1e368f6cbb. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winOKNov 01 2024
R-4.5-linuxOKNov 01 2024
R-4.4-winOKNov 01 2024
R-4.4-macOKNov 01 2024
R-4.3-winOKNov 01 2024
R-4.3-macOKNov 01 2024

Exports:ebcovebnocov

Dependencies:COUNTlatticeMASSmsmesandwichzoo