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. This methodology is published in Taketomi et al.(2021) <doi:10.3390/axioms10040267>.

Version: 0.1.2
Published: 2022-01-03
Author: Nanami Taketomi, Takeshi Emura
Maintainer: Nanami Taketomi <nanamitaketomitommy at>
License: GPL-2
NeedsCompilation: no
In views: MetaAnalysis
CRAN checks: meta.shrinkage results


Reference manual: meta.shrinkage.pdf


Package source: meta.shrinkage_0.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): meta.shrinkage_0.1.2.tgz, r-oldrel (arm64): meta.shrinkage_0.1.2.tgz, r-release (x86_64): meta.shrinkage_0.1.2.tgz, r-oldrel (x86_64): meta.shrinkage_0.1.2.tgz
Old sources: meta.shrinkage archive


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