Package: saeME 1.3.1

Muhammad Rifqi Mubarak

saeME: Small Area Estimation with Measurement Error

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) <doi:10.1093/biomet/asn048>.

Authors:Azka Ubaidillah [aut], Muhammad Rifqi Mubarak [aut, cre]

saeME_1.3.1.tar.gz
saeME_1.3.1.tar.gz(r-4.5-noble)saeME_1.3.1.tar.gz(r-4.4-noble)
saeME_1.3.1.tgz(r-4.4-emscripten)saeME_1.3.1.tgz(r-4.3-emscripten)
saeME.pdf |saeME.html✨
saeME/json (API)

# Install 'saeME' in R:
install.packages('saeME', repos = 'https://cloud.r-project.org')
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 289 downloads 2 exports 1 dependencies

Last updated 2 years agofrom:ec44e009e7. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 13 2025
R-4.5-linuxOKMar 13 2025
R-4.4-linuxOKMar 13 2025

Exports:FHmemse_FHme

Dependencies:MASS

Citation

To cite package ‘saeME’ in publications use:

Azka Ubaidillah, Muhammad Rifqi Mubarak (2023). saeME: Small Area Estimation with Measurement Error. R package version 1.3.1, https://CRAN.R-project.org/package=saeME.

Corresponding BibTeX entry: 

  @Manual{,
    title = {saeME: Small Area Estimation with Measurement Error},
    author = {{Azka Ubaidillah} and {Muhammad Rifqi Mubarak}},
    year = {2023},
    note = {R package version 1.3.1},
    url = {https://CRAN.R-project.org/package=saeME},
  }

Readme and manuals

Panduan

Buka file saeME.Rproj, untuk melihat script dari fungsi-fungsi package buka file .R di dalam folder R