# Small area estimation

### Description

This package provides a variety of functions for small area estimation, including functions for mean squared error estimation. Basic estimators include direct, poststratified synthetic and sample size dependent. Model-based estimators include the EBLUP based on a Fay-Herriot model and the EBLUP based on a unit level nested error model. Estimators obtained from spatial and spatio-temporal Fay-Herriot models and the EB method based on the unit level nested error model for estimation of general non linear parameters are also included.

### Details

This package provides functions for estimation in domains with small sample sizes. For a complete list of functions, see library(help=sae).

Package: | sae |

Type: | Package |

Version: | 1.1 |

Date: | 2015-08-07 |

License: | GPL-2 |

Depends: | stats, nlme, MASS |

### Author(s)

Isabel Molina <isabel.molina@uc3m.es> and Yolanda Marhuenda <y.marhuenda@umh.es>

### References

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- Small Area Methods for Poverty and Living Conditions Estimates (SAMPLE), funded by European Commission, Collaborative Project 217565, Call identifier FP7-SSH-2007-1.

- You, Y. and Chapman, B. (2006). Small area estimation using area level models and estimated sampling variances. Survey Methodology 32, 97-103.