meta.shrinkage: Meta-Analyses for Simultaneously Estimating Individual Means

Implement meta-analyses for simultaneously estimating individual means with shrinkage, isotonic regression and pretests. Include our original implementation of the isotonic regression via the pool-adjacent-violators algorithm (PAVA) algorithm. For the pretest estimator, the confidence interval for individual means are provided. Methodologies were published in Taketomi et al. (2021) <doi:10.3390/axioms10040267>, Taketomi et al. (2022) <doi:10.3390/a15010026>, Taketomi et al. (2023-) (under review).

Version: 0.1.4
Published: 2023-09-05
DOI: 10.32614/CRAN.package.meta.shrinkage
Author: Nanami Taketomi, Takeshi Emura
Maintainer: Nanami Taketomi <nnmamikrn at>
License: GPL-2
NeedsCompilation: no
In views: MetaAnalysis
CRAN checks: meta.shrinkage results


Reference manual: meta.shrinkage.pdf


Package source: meta.shrinkage_0.1.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): meta.shrinkage_0.1.4.tgz, r-oldrel (arm64): meta.shrinkage_0.1.4.tgz, r-release (x86_64): meta.shrinkage_0.1.4.tgz, r-oldrel (x86_64): meta.shrinkage_0.1.4.tgz
Old sources: meta.shrinkage archive


Please use the canonical form to link to this page.