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
Author:	Nanami Taketomi, Takeshi Emura
Maintainer:	Nanami Taketomi <nnmamikrn at gmail.com>
License:	GPL-2
NeedsCompilation:	no
In views:	MetaAnalysis
CRAN checks:	meta.shrinkage results

Documentation:

Reference manual:

meta.shrinkage.pdf

Downloads:

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

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