saeRobust (0.2.0)

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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.

Maintainer: Sebastian Warnholz
Author(s): Sebastian Warnholz [aut, cre]

License: MIT + file LICENSE

Uses: aoos, assertthat, ggplot2, magrittr, MASS, Matrix, memoise, modules, pbapply, Rcpp, spdep, testthat, knitr, sae, rmarkdown, saeSim

Released about 2 years ago.

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