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saeME  

Small Area Estimation with Measurement Error
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("saeME", "1.3.1")



Attach the package and use:
library("saeME")
Maintained by
Muhammad Rifqi Mubarak
[Scholar Profile | Author Map]
First Published: 2020-03-20
Latest Update: 2023-08-21
Description:
A set of functions and datasets implementation of small area estimation when auxiliary variable is measured with error. These functions provide a empirical best linear unbiased prediction (EBLUP) estimator and mean squared error (MSE) estimator of the EBLUP. These models were developed by Ybarra and Lohr (2008) .
How to cite:
Muhammad Rifqi Mubarak (2020). saeME: Small Area Estimation with Measurement Error. R package version 1.3.1, https://cran.r-project.org/web/packages/saeME. Accessed 25 Apr. 2025.
Previous versions and publish date:
1.0.1 (2020-03-20 11:10), 1.2.1 (2020-09-03 08:40), 1.2.2 (2020-10-01 07:10), 1.2.3 (2020-10-12 14:40), 1.2.4 (2020-11-02 17:40), 1.2 (2020-08-30 16:30), 1.3 (2022-04-21 13:10)
Other packages that cited saeME R package
View saeME citation profile
Other R packages that saeME depends, imports, suggests or enhances
Complete documentation for saeME
Functions, R codes and Examples using the saeME R package
Some associated functions: FHme . dataME . datamix . mse_FHme . saeME-package . 
Some associated R codes: FHme.R . dataME.R . datamix.R . mse_FHme.R . saeME.R .  Full saeME package functions and examples
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