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saeMSPE: Computing MSPE Estimates in Small Area Estimation

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

Documentation:

Reference manual: saeMSPE.pdf

Downloads:

Package source: saeMSPE_1.4.tar.gz
Windows binaries: r-devel: saeMSPE_1.4.zip, r-release: saeMSPE_1.4.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

Linking:

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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.
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