sae: An R Package for Small Area Estimation

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.

Isabel Molina , Yolanda Marhuenda

CRAN packages used

sae, nlme, MASS, survey, sampling, rsae, JoSae, hbsae, mme, saery, sae2

CRAN Task Views implied by cited packages

OfficialStatistics, SocialSciences, Econometrics, Environmetrics, Pharmacokinetics, Psychometrics, Bayesian, ChemPhys, Distributions, Finance, Multivariate, NumericalMathematics, Robust, Spatial, SpatioTemporal, Survival, TimeSeries


Text and figures are licensed under Creative Commons Attribution CC BY 4.0. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".


For attribution, please cite this work as

Molina & Marhuenda, "The R Journal: sae: An R Package for Small Area Estimation", The R Journal, 2015

BibTeX citation

  author = {Molina, Isabel and Marhuenda, Yolanda},
  title = {The R Journal: sae: An R Package for Small Area Estimation},
  journal = {The R Journal},
  year = {2015},
  note = {},
  doi = {10.32614/RJ-2015-007},
  volume = {7},
  issue = {1},
  issn = {2073-4859},
  pages = {81-98}