SumcaVer1: Mean Square Prediction Error Estimation in Small Area Estimation

Estimation of mean squared prediction error of a small area predictor is provided. In particular, the recent method of Simple, Unified, Monte-Carlo Assisted approach for the mean squared prediction error estimation of small area predictor is provided. We also provide other existing methods of mean squared prediction error estimation such as jackknife method for the mixed logistic model.

Version: 0.1.0
Imports: lme4, psych, stats
Published: 2024-07-21
DOI: 10.32614/CRAN.package.SumcaVer1
Author: Mahmoud Torabi [aut, cre], Jiming Jiang [ctb]
Maintainer: Mahmoud Torabi <mahmoud.torabi at umanitoba.ca>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: SumcaVer1 results

Documentation:

Reference manual: SumcaVer1.pdf

Downloads:

Package source: SumcaVer1_0.1.0.tar.gz
Windows binaries: r-devel: SumcaVer1_0.1.0.zip, r-release: SumcaVer1_0.1.0.zip, r-oldrel: SumcaVer1_0.1.0.zip
macOS binaries: r-release (arm64): SumcaVer1_0.1.0.tgz, r-oldrel (arm64): SumcaVer1_0.1.0.tgz, r-release (x86_64): SumcaVer1_0.1.0.tgz, r-oldrel (x86_64): SumcaVer1_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SumcaVer1 to link to this page.