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).

Getting started

Package details

AuthorNanami Taketomi, Takeshi Emura
MaintainerNanami Taketomi <nnmamikrn@gmail.com>
LicenseGPL-2
Version0.1.4
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("meta.shrinkage")

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meta.shrinkage documentation built on Sept. 8, 2023, 5:57 p.m.