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.
Version: 0.5.0 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 Published: 2024-03-15 DOI: 10.32614/CRAN.package.saeRobust Author: Sebastian Warnholz [aut, cre] Maintainer: Sebastian Warnholz <wahani at gmail.com> BugReports: https://github.com/wahani/saeRobust/issues License: MIT + file LICENSE NeedsCompilation: yes Materials: NEWS CRAN checks: saeRobust results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=saeRobust to link to this page.
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