The R Journal: article published in 2015, volume 7:1

sae: An R Package for Small Area Estimation
Isabel Molina and Yolanda Marhuenda , The R Journal (2015) 7:1, pages 81-98.

Abstract We describe the R package sae for small area estimation. This package can be used to obtain model-based estimates for small areas based on a variety of models at the area and unit levels, along with basic direct and indirect estimates. Mean squared errors are estimated by analytical approximations in simple models and applying bootstrap procedures in more complex models. We describe the package functions and show how to use them through examples.

Received: 2014-09-20; online 2015-06-02
CRAN packages: sae, nlme, MASS, survey, sampling, rsae, JoSae, hbsae, mme, saery, sae2
CRAN Task Views implied by cited CRAN packages: OfficialStatistics, SocialSciences, Econometrics, Environmetrics, Pharmacokinetics, Psychometrics, Bayesian, ChemPhys, Distributions, Finance, Multivariate, NumericalMathematics, Robust, Spatial, SpatioTemporal, Survival, TimeSeries

This article is licensed under a Creative Commons Attribution 3.0 Unported license .

@article{RJ-2015-007,
  author = {Isabel Molina and Yolanda Marhuenda},
  title = {{sae: An R Package for Small Area Estimation}},
  year = {2015},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2015-007},
  url = {https://doi.org/10.32614/RJ-2015-007},
  pages = {81--98},
  volume = {7},
  number = {1}
}