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Robust Methods for 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 are area level models incorporating spatial and temporal autocorrelation in the random effects.

Installation

From CRAN:

installed.packages("saeRobust")

From this repo:

devtools::install_github("wahani/saeRobust")

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Robust Small Area Estimation

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  • R 89.0%
  • C++ 11.0%