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saeRobust: Robust Small Area Estimation
Methods to fit robust alternatives to commonly used models used in Small Area Estimation. The methods here used are based on best linear unbiased predictions and linear mixed models. At this time available models include area level models incorporating spatial and temporal correlation in the random effects.
Getting started
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Package details |
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| Author | Sebastian Warnholz [aut, cre] |
| Maintainer | Sebastian Warnholz <wahani@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.5.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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