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saens  

Small Area Estimation with Cluster Information for Estimation of Non-Sampled Areas
View on CRAN: Click here


Download and install saens package within the R console
Install from CRAN:
install.packages("saens")

Install from Github:
library("remotes")
install_github("cran/saens")

Install by package version:
library("remotes")
install_version("saens", "0.1.2")



Attach the package and use:
library("saens")
Maintained by
Ridson Al Farizal P
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-02-21
Latest Update: 2024-11-18
Description:
Implementation of small area estimation (Fay-Herriot model) with EBLUP (Empirical Best Linear Unbiased Prediction) Approach for non-sampled area estimation by adding cluster information and assuming that there are similarities among particular areas. See also Rao & Molina (2015, ISBN:978-1-118-73578-7) and Anisa et al. (2013) .
How to cite:
Ridson Al Farizal P (2024). saens: Small Area Estimation with Cluster Information for Estimation of Non-Sampled Areas. R package version 0.1.2, https://cran.r-project.org/web/packages/saens. Accessed 03 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:01), 0.1.0 (2024-02-21 22:00), 0.1.1 (2024-10-24 23:10)
Other packages that cited saens R package
View saens citation profile
Other R packages that saens depends, imports, suggests or enhances
Complete documentation for saens
Functions, R codes and Examples using the saens R package
Full saens package functions and examples
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