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:
saeeb_0.1.0.tar.gz
saeeb_0.1.0.zip(r-4.7)saeeb_0.1.0.zip(r-4.6)saeeb_0.1.0.zip(r-4.5)
saeeb_0.1.0.tgz(r-4.6-any)saeeb_0.1.0.tgz(r-4.5-any)
saeeb_0.1.0.tar.gz(r-4.7-any)saeeb_0.1.0.tar.gz(r-4.6-any)
saeeb_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
saeeb/json (API)
| # Install 'saeeb' in R: |
| install.packages('saeeb', repos = c('https://ikiii.r-universe.dev', 'https://cloud.r-project.org')) |
- lip - Lip Cancer in Scotland
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:1e368f6cbb. Checks:9 OK. Indexed: yes.
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| EB Poisson-Gamma with Covariates | ebcov |
| EB Poisson-Gamma without Covariates | ebnocov |
| Lip Cancer in Scotland | lip |
| Small Area Estimation for Count Data | saeeb |
