Package: saeRobust
Title: Robust Small Area Estimation
Version: 0.5.0
Author: Sebastian Warnholz [aut, cre]
Maintainer: Sebastian Warnholz <wahani@gmail.com>
Description: 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.
BugReports: https://github.com/wahani/saeRobust/issues
Depends: R (>= 3.3.0), methods, aoos
Imports: assertthat, ggplot2, Matrix, magrittr, MASS, modules, memoise,
        pbapply, Rcpp, spdep
License: MIT + file LICENSE
Suggests: knitr, rmarkdown, sae, saeSim, testthat
VignetteBuilder: knitr
Encoding: UTF-8
ByteCompile: true
RoxygenNote: 7.1.2
LinkingTo: Rcpp, RcppArmadillo
Collate: 'NAMESPACE.R' 'RcppExports.R' 'bootstrap.R' 'check.R'
        'correlation.R' 'fit.R' 'fixedPoint.R' 'helper.R' 'makeXY.R'
        'mat.R' 'matModels.R' 'mse.R' 'plot.R' 'print.R'
        'psiFunctions.R' 'rfh.R' 'robustEstimationEquations.R'
        'robustObjectiveFunctions.R' 'testData.R' 'update.R'
        'variance.R'
NeedsCompilation: yes
Packaged: 2026-10-28 10:26:06 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2024-03-16 02:30:34 UTC
RemoteUrl: https://github.com/cran/saeRobust
RemoteRef: HEAD
RemoteSha: 03abcc4044199d245e485be6f29cb111feb5e557