Package: saeRobust 0.5.0

saeRobust: 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.

Authors:Sebastian Warnholz [aut, cre]

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Peer review:

Bug tracker:https://github.com/wahani/saerobust/issues

On CRAN:

46 exports 1 stars 1.55 score 73 dependencies 3 dependents 12 scripts 509 downloads

Last updated 6 months agofrom:db45ed2702. Checks:OK: 9. Indexed: yes.

Exports:addAverageDampaddConstraintMaxaddConstraintMinaddCounteraddHistoryaddMaxIteraddStorageblandAltmanPlotbootbootstrapconvCritAbsoluteconvCritRelativecorAR1corSAR1corSAR1AR1fitGenericModelfitrfhfitrsfhfitrstfhfitrtfhfixedPointgetKmakeXYmatAmatAConstmatBmatBConstmatTracematTZmatTZ1matUmatWmatWbcmsenewtonRaphsonnewtonRaphsonFunctionpsiOneqqPlotrfhscoretestMatXtestResponsetestResponse0testRookupdatevariance

Dependencies:aoosassertthatbootbrewcachemcallrclassclassIntclicolorspacecommonmarkcpp11DBIdeldirdesce1071evaluatefansifarverfastmapfsggplot2gluegtablehighrisobandKernSmoothknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmodulesmunsellnlmepbapplypillarpkgbuildpkgconfigpkgloadprocessxproxypspurrrR6RColorBrewerRcppRcppArmadillorlangroxygen2rprojroots2scalessfspspDataspdepstringistringrtibbleunitsutf8vctrsviridisLitewithrwkxfunxml2yaml