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: | 0.2.0 |
| 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: | 2018-03-27 |
| Author: | Sebastian Warnholz [aut, cre] |
| Maintainer: | Sebastian Warnholz <Sebastian.Warnholz at fu-berlin.de> |
| BugReports: | https://github.com/wahani/saeRobust/issues |
| License: | MIT + file LICENSE |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | saeRobust results |
| Reference manual: | saeRobust.pdf |
| Vignettes: |
fixedPoint |
| Package source: | saeRobust_0.2.0.tar.gz |
| Windows binaries: | r-devel: saeRobust_0.2.0.zip, r-release: saeRobust_0.2.0.zip, r-oldrel: saeRobust_0.2.0.zip |
| OS X binaries: | r-release: saeRobust_0.2.0.tgz, r-oldrel: saeRobust_0.2.0.tgz |
| Old sources: | saeRobust archive |
Please use the canonical form https://CRAN.R-project.org/package=saeRobust to link to this page.