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.
- Version0.1.0
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release04/28/2020
Team
Rizki Ananda Fauziah
Ika Yuni Wulansari
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Last 30 days
This package has been downloaded 121 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 9 times.
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Last 365 days
This package has been downloaded 1,517 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jan 21, 2025 with 25 downloads.
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Dependencies
- Imports2 packages