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: |
0.3.0 |
| 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: |
2022-06-13 |
| 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 |