Package: saeRobust
Title: Robust Small Area Estimation
Version: 0.2.0
Author: Sebastian Warnholz [aut, cre]
Maintainer: Sebastian Warnholz <Sebastian.Warnholz@fu-berlin.de>
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
LazyData: true
Suggests: knitr, rmarkdown, sae, saeSim, testthat
VignetteBuilder: knitr
Encoding: UTF-8
ByteCompile: true
RoxygenNote: 6.0.1
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: 2018-03-27 20:29:51 UTC; sebastian
Repository: CRAN
Date/Publication: 2018-03-27 20:43:34 UTC
Built: R 4.1.0; x86_64-w64-mingw32; 2020-08-03 12:51:24 UTC; windows
Archs: i386, x64
