Robust Small Area Estimation R package saeRobust version 0.5.0 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. Software Depends: R (>= 3.3.0), methods, aoos Imports: assertthat, ggplot2, Matrix, magrittr, MASS, modules, memoise, pbapply, Rcpp, spdep LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, rmarkdown, sae, saeSim, testthat Sebastian Warnholz <wahani@gmail.com> Comprehensive R Archive Network (CRAN) Sebastian Warnholz [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=saeRobust/LICENSE) 2024-03-15 application/tgz https://CRAN.R-project.org/package=saeRobust doi:10.32614/CRAN.package.saeRobust