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saeeb
View on CRAN: Click
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Download and install saeeb package within the R console
Install from CRAN:
install.packages("saeeb")
Install from Github:
library("remotes")
install_github("cran/saeeb") Install by package version:
library("remotes")
install_version("saeeb", "0.1.0") Attach the package and use:
library("saeeb")
Maintained by
Rizki Ananda Fauziah
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-04-28
Latest Update: 2020-04-28
Description:
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) , the EB estimators with covariates are obtained using the model proposed by Wakefield (2006) and the MSE estimators are obtained using Jackknife method by Jiang et. al. (2002) .
How to cite:
Rizki Ananda Fauziah (2020). saeeb: Small Area Estimation for Count Data. R package version 0.1.0, https://cran.r-project.org/web/packages/saeeb. Accessed 20 Sep. 2026.
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Complete documentation for saeeb
Functions, R codes and Examples using
the saeeb R package
Some associated functions: ebcov . ebnocov . lip . saeeb .
Some associated R codes: ebcov.R . ebnocov.R . lip.R . saeeb.R . Full saeeb package functions and examples
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