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.


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install.packages("saeRobust")

0.1.0 by Sebastian Warnholz, 10 months ago


Report a bug at https://github.com/wahani/saeRobust/issues


Browse source code at https://github.com/cran/saeRobust


Authors: Sebastian Warnholz [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


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

Depends on methods, aoos

Suggests knitr, rmarkdown, sae, saeSim, testthat

Linking to Rcpp, RcppArmadillo


See at CRAN