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.


Reference manual

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0.2.0 by Sebastian Warnholz, 3 years ago

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Authors: Sebastian Warnholz [aut, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports assertthat, ggplot2, Matrix, magrittr, MASS, modules, memoise, pbapply, Rcpp, spdep

Depends on methods, aoos

Suggests knitr, rmarkdown, sae, saeSim, testthat

Linking to Rcpp, RcppArmadillo

Imported by emdi.

See at CRAN