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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: | 0.5.0 |
| 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: | 2024-03-15 |
| DOI: | 10.32614/CRAN.package.saeRobust |
| Author: | Sebastian Warnholz [aut, cre] |
| Maintainer: | Sebastian Warnholz <wahani at gmail.com> |
| 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_0.5.0.tar.gz |
| Windows binaries: | r-devel: saeRobust_0.5.0.zip, r-release: saeRobust_0.5.0.zip, r-oldrel: saeRobust_0.5.0.zip |
| macOS binaries: | r-release (arm64): saeRobust_0.5.0.tgz, r-oldrel (arm64): saeRobust_0.5.0.tgz, r-release (x86_64): saeRobust_0.5.0.tgz, r-oldrel (x86_64): saeRobust_0.5.0.tgz |
| Old sources: | saeRobust archive |
| Reverse imports: | emdi, povmap |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.