Empirical best linear unbiased prediction (EBLUP) and robust prediction of the area-level means under the basic unit-level model. The model can be fitted by maximum likelihood or a (robust) M-estimator. Mean square prediction error is computed by a parametric bootstrap.
Version: 0.3 Depends: R (≥ 3.5.0) Imports: stats, graphics Suggests: knitr, rmarkdown, robustbase Published: 2024-02-06 DOI: 10.32614/CRAN.package.rsae Author: Tobias Schoch [aut, cre], Burkardt John [cph] (Fortran 90 subroutine zero_rc) Maintainer: Tobias Schoch <tobias.schoch at fhnw.ch> BugReports: https://github.com/tobiasschoch/rsae/issues License: GPL-3 URL: https://github.com/tobiasschoch/rsae NeedsCompilation: yes Citation: rsae citation info Materials: NEWS In views: OfficialStatistics CRAN checks: rsae results Documentation: Reference manual: rsae.pdf Vignettes: Robust Estimation and Prediction Under the Unit-Level SAE ModelPlease use the canonical form https://CRAN.R-project.org/package=rsae to link to this page.
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