Compute various common mean squared predictive error (MSPE) estimators, as well as several existing variance component predictors as a byproduct, for FH model (Fay and Herriot, 1979) and NER model (Battese et al., 1988) in small area estimation.
| Version: | 1.4 |
| Depends: | R (≥ 3.5.0), Matrix, smallarea |
| Imports: | Rcpp (≥ 1.0.7) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat |
| Published: | 2024-11-25 |
| DOI: | 10.32614/CRAN.package.saeMSPE |
| Author: | Peiwen Xiao [aut, cre], Xiaohui Liu [aut], Yu Zhang [aut], Yuzi Liu [aut], Jiming Jiang [ths] |
| Maintainer: | Peiwen Xiao <2569613200 at qq.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | saeMSPE results |
| Reference manual: | saeMSPE.pdf |
| Package source: | saeMSPE_1.4.tar.gz |
| Windows binaries: | r-devel: saeMSPE_1.4.zip, r-release: saeMSPE_1.3.zip, r-oldrel: saeMSPE_1.4.zip |
| macOS binaries: | r-release (arm64): saeMSPE_1.4.tgz, r-oldrel (arm64): saeMSPE_1.4.tgz, r-release (x86_64): saeMSPE_1.4.tgz, r-oldrel (x86_64): saeMSPE_1.4.tgz |
| Old sources: | saeMSPE archive |
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