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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.html ,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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