Description Details Author(s) References

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.

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: | 1.2 |

Date: | 2018-05-01 |

License: | GPL-2 |

Depends: | stats, lmer |

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

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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.

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